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10,027 | Augmenting Large Language Models with Verified Information Sources: Leveraging AWS SageMaker and OpenSearch for Knowledge-Driven Question Answering | TLDR: This article offers a detailed guide on how to enhance the accuracy of large language models (LLMs) by incorporating custom domain knowledge into the text generation process. The article will provide a high-level architecture blueprint along with code samples to develop a prototype web application for retrieval-enhanced question answering… | https://medium.com/@shankar.arunp/augmenting-large-language-models-with-verified-information-sources-leveraging-aws-sagemaker-and-f6be17fb10a8?source=topics_v2---------37-84--------------------74ba2aa8_d1ed_4bb7_b457_2647aef7584e-------17 | nlp | Augmenting Large Language Models with Verified Information Sources: Leveraging AWS SageMaker and OpenSearch for Knowledge-Driven Question Answering TLDR: This article offers a detailed guide on how to enhance the accuracy of large language models (LLMs) by incorporating custom domain knowledge into the text generation process. The article will provide a high-level architecture blueprint along with code samples to develop a prototype web application for retrieval-enhanced question answering… nlp | Augmenting Large Language Models Verified Information Sources Leveraging AWS SageMaker OpenSearch KnowledgeDriven Question Answering TLDR article offer detailed guide enhance accuracy large language model LLMs incorporating custom domain knowledge text generation process article provide highlevel architecture blueprint along code sample develop prototype web application retrievalenhanced question answering… nlp |
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10,028 | Lyrical Lexicon — Part 6→ BERT | In terms of application to our 150 txt file lyrics dataset, I think the transformer models aren’t very interesting. Mainly because the dataset is far too small to have any impressive outputs by any large language models. Anyhow I find their architectures interesting, and wanted to feature them in the… | https://medium.com/@jrkagumba/lyrical-lexicon-part-6-bert-85ad4bb8b12d?source=topics_v2---------38-84--------------------74ba2aa8_d1ed_4bb7_b457_2647aef7584e-------17 | nlp | Lyrical Lexicon — Part 6→ BERT In terms of application to our 150 txt file lyrics dataset, I think the transformer models aren’t very interesting. Mainly because the dataset is far too small to have any impressive outputs by any large language models. Anyhow I find their architectures interesting, and wanted to feature them in the… nlp | Lyrical Lexicon — Part 6→ BERT term application 150 txt file lyric dataset think transformer model aren’t interesting Mainly dataset far small impressive output large language model Anyhow find architecture interesting wanted feature the… nlp |
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10,029 | Decoding Named Entity Recognition in NLP | A Hands-on Guide to Named Entity Recognition in NLP with Python implementation In a typical NLP project workflow these are the stages that are involved: Business understanding: In this step we try to address the question “What does the business need”. … | https://medium.com/@venky.balaji1902/decoding-named-entity-recognition-in-nlp-743933911c79?source=topics_v2---------39-84--------------------74ba2aa8_d1ed_4bb7_b457_2647aef7584e-------17 | https://miro.medium.com/v2/resize:fill:140:140/0*oVsSiRSuciCevh37 | nlp | Decoding Named Entity Recognition in NLP A Hands-on Guide to Named Entity Recognition in NLP with Python implementation In a typical NLP project workflow these are the stages that are involved: Business understanding: In this step we try to address the question “What does the business need”. … nlp | Decoding Named Entity Recognition NLP Handson Guide Named Entity Recognition NLP Python implementation typical NLP project workflow stage involved Business understanding step try address question “What business need” … nlp |
10,030 | Easter Sunday Sermon by ChatGPT | With the widespread use of ChatGPT, I couldn’t resist the temptation to experiment with it myself. As Easter drew near, I pondered whether it was possible to create an AI preacher that could deliver a meaningful Easter Sunday sermon. I decided to put ChatGPT to the test and input the… | https://medium.com/@aseda.ad/easter-sunday-sermon-by-chatgpt-fc87f2a81c98?source=topics_v2---------40-84--------------------74ba2aa8_d1ed_4bb7_b457_2647aef7584e-------17 | nlp | Easter Sunday Sermon by ChatGPT With the widespread use of ChatGPT, I couldn’t resist the temptation to experiment with it myself. As Easter drew near, I pondered whether it was possible to create an AI preacher that could deliver a meaningful Easter Sunday sermon. I decided to put ChatGPT to the test and input the… nlp | Easter Sunday Sermon ChatGPT widespread use ChatGPT couldn’t resist temptation experiment Easter drew near pondered whether possible create AI preacher could deliver meaningful Easter Sunday sermon decided put ChatGPT test input the… nlp |
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10,031 | Build Your Own AI Chatbot with Python, Just Like Tony Stark in Iron Man (in 7ish steps) | Hey, there! Today I’m here to talk to you about building custom AI applications with Python. 😎 If you’re like me, you’re probably curious about AI and how it works. You might have seen AI in action in popular movies like “The Terminator” or “Ex Machina,” but AI is actually… | https://medium.com/gitconnected/build-your-own-ai-chatbot-with-python-just-like-tony-stark-in-iron-man-in-7ish-steps-67c16e6992f9?source=topics_v2---------41-84--------------------74ba2aa8_d1ed_4bb7_b457_2647aef7584e-------17 | nlp | Build Your Own AI Chatbot with Python, Just Like Tony Stark in Iron Man (in 7ish steps) Hey, there! Today I’m here to talk to you about building custom AI applications with Python. 😎 If you’re like me, you’re probably curious about AI and how it works. You might have seen AI in action in popular movies like “The Terminator” or “Ex Machina,” but AI is actually… nlp | Build AI Chatbot Python Like Tony Stark Iron Man 7ish step Hey Today I’m talk building custom AI application Python 😎 you’re like you’re probably curious AI work might seen AI action popular movie like “The Terminator” “Ex Machina” AI actually… nlp |
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10,032 | Comparing Senator Speeches Using Text Similarity Approach | In this article, I will show an example of text similarity analysis using tfidf, bag of words, and n-grams approaches.
The two texts I compare are congress speeches from 105th United States Congress members Senator Akaka and Senator Abraham. | https://medium.com/@yigitahmis/comparing-senator-speeches-using-text-similarity-approach-56f17dedc9?source=topics_v2---------42-84--------------------74ba2aa8_d1ed_4bb7_b457_2647aef7584e-------17 | nlp | Comparing Senator Speeches Using Text Similarity Approach In this article, I will show an example of text similarity analysis using tfidf, bag of words, and n-grams approaches.
The two texts I compare are congress speeches from 105th United States Congress members Senator Akaka and Senator Abraham. nlp | Comparing Senator Speeches Using Text Similarity Approach article show example text similarity analysis using tfidf bag word ngrams approach two text compare congress speech 105th United States Congress member Senator Akaka Senator Abraham nlp |
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10,033 | The Future of GPT: Development and Applications | Introduction GPT (Generative Pre-training Transformer) is a machine learning model that has revolutionized the field of natural language processing (NLP). Its ability to generate human-like text has captivated the attention of researchers, industry professionals, and the general public. As we move towards an increasingly digitized world, the potential applications of GPT… | https://medium.com/@jachin.live/the-future-of-gpt-development-and-applications-55b5812b0223?source=topics_v2---------43-84--------------------74ba2aa8_d1ed_4bb7_b457_2647aef7584e-------17 | nlp | The Future of GPT: Development and Applications Introduction GPT (Generative Pre-training Transformer) is a machine learning model that has revolutionized the field of natural language processing (NLP). Its ability to generate human-like text has captivated the attention of researchers, industry professionals, and the general public. As we move towards an increasingly digitized world, the potential applications of GPT… nlp | Future GPT Development Applications Introduction GPT Generative Pretraining Transformer machine learning model revolutionized field natural language processing NLP ability generate humanlike text captivated attention researcher industry professional general public move towards increasingly digitized world potential application GPT… nlp |
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10,034 | Decoding Human Language: The Evolution of AI and Its Mastery of Linguistics | Summary:
“Decoding Human Language: The Evolution of AI and Its Mastery of Linguistics” explores the development of artificial intelligence (AI) and its progress in understanding and generating human-like language. The article discusses the early challenges faced in the 1950s and 1960s, primarily due to limited data and computational resources. It… | https://medium.com/@x3em/decoding-human-language-the-evolution-of-ai-and-its-mastery-of-linguistics-70a282fb8b13?source=topics_v2---------44-84--------------------f478c563_f839_4931_946b_c03f1b64a5fe-------17 | nlp | Decoding Human Language: The Evolution of AI and Its Mastery of Linguistics Summary:
“Decoding Human Language: The Evolution of AI and Its Mastery of Linguistics” explores the development of artificial intelligence (AI) and its progress in understanding and generating human-like language. The article discusses the early challenges faced in the 1950s and 1960s, primarily due to limited data and computational resources. It… nlp | Decoding Human Language Evolution AI Mastery Linguistics Summary “Decoding Human Language Evolution AI Mastery Linguistics” explores development artificial intelligence AI progress understanding generating humanlike language article discus early challenge faced 1950s 1960s primarily due limited data computational resource It… nlp |
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10,035 | Prompt Engineering — Backbone of Generative AI | In today’s digital age, the internet is abuzz with the latest advancements in AI, including ChatGPT — a new content creator that has taken the online world by storm. As an engineer, it is crucial to understand the backbone of these generative AI systems, language model, prompts, and prompt engineering… | https://medium.com/@ankur.goel_34001/prompt-engineering-backbone-of-generative-ai-1c164d672dd2?source=topics_v2---------45-84--------------------f478c563_f839_4931_946b_c03f1b64a5fe-------17 | nlp | Prompt Engineering — Backbone of Generative AI In today’s digital age, the internet is abuzz with the latest advancements in AI, including ChatGPT — a new content creator that has taken the online world by storm. As an engineer, it is crucial to understand the backbone of these generative AI systems, language model, prompts, and prompt engineering… nlp | Prompt Engineering — Backbone Generative AI today’s digital age internet abuzz latest advancement AI including ChatGPT — new content creator taken online world storm engineer crucial understand backbone generative AI system language model prompt prompt engineering… nlp |
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10,036 | NLP is a powerful field of study that has a wide range of applications in real-life scenarios. | Natural Language Processing (NLP) is an important field of study in computer science that deals with the interaction between computers and humans through natural language. NLP is used in a wide range of applications, from speech recognition to sentiment analysis, and from chatbots to machine translation. … | https://medium.com/@gaikwads070/nlp-is-a-powerful-field-of-study-that-has-a-wide-range-of-applications-in-real-life-scenarios-16a7bfefe968?source=topics_v2---------46-84--------------------f478c563_f839_4931_946b_c03f1b64a5fe-------17 | nlp | NLP is a powerful field of study that has a wide range of applications in real-life scenarios. Natural Language Processing (NLP) is an important field of study in computer science that deals with the interaction between computers and humans through natural language. NLP is used in a wide range of applications, from speech recognition to sentiment analysis, and from chatbots to machine translation. … nlp | NLP powerful field study wide range application reallife scenario Natural Language Processing NLP important field study computer science deal interaction computer human natural language NLP used wide range application speech recognition sentiment analysis chatbots machine translation … nlp |
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10,037 | A Practical Guide to Parts of Speech (POS) Tagging in NLP with Python | A Hands-on Guide to Parts of Speech Tagging in Natural Language Processing with Python implementation In a typical NLP project workflow these are the stages that are involved: Business understanding: In this step we try to address the question “What does the business need”. … | https://medium.com/@venky.balaji1902/a-practical-guide-to-parts-of-speech-pos-tagging-in-nlp-with-python-6a75b5e676d0?source=topics_v2---------47-84--------------------f478c563_f839_4931_946b_c03f1b64a5fe-------17 | https://miro.medium.com/v2/resize:fill:140:140/0*ltbCObSxRJEcx2pI | nlp | A Practical Guide to Parts of Speech (POS) Tagging in NLP with Python A Hands-on Guide to Parts of Speech Tagging in Natural Language Processing with Python implementation In a typical NLP project workflow these are the stages that are involved: Business understanding: In this step we try to address the question “What does the business need”. … nlp | Practical Guide Parts Speech POS Tagging NLP Python Handson Guide Parts Speech Tagging Natural Language Processing Python implementation typical NLP project workflow stage involved Business understanding step try address question “What business need” … nlp |
10,038 | Beeptalk, human-like support, but it’s a bot | What is Beeptalk? Beeptalk is a support chatbot service that empowers businesses to provide automatic 24/7 human-like support to their clients. Powered by the OpenAI (chat gpt 3.5) natural language processing AI model, Beeptalk offers the most advanced chatbot service available for any service or product. The set-up is straight forward and… | https://medium.com/@beeptalk/beeptalk-human-like-support-but-its-a-bot-e2d6795588df?source=topics_v2---------48-84--------------------f478c563_f839_4931_946b_c03f1b64a5fe-------17 | nlp | Beeptalk, human-like support, but it’s a bot What is Beeptalk? Beeptalk is a support chatbot service that empowers businesses to provide automatic 24/7 human-like support to their clients. Powered by the OpenAI (chat gpt 3.5) natural language processing AI model, Beeptalk offers the most advanced chatbot service available for any service or product. The set-up is straight forward and… nlp | Beeptalk humanlike support it’s bot Beeptalk Beeptalk support chatbot service empowers business provide automatic 247 humanlike support client Powered OpenAI chat gpt 35 natural language processing AI model Beeptalk offer advanced chatbot service available service product setup straight forward and… nlp |
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10,039 | ChatGPT 101 | ChatGPT has nearly taken the world by storm, completely changing how the world can perceive the power of Chatbots. Created by OpenAI this platform can help you generate a million ideas for your new business as well as write an anthem for your dog. What exactly is ChatGPT and how… | https://medium.com/@onthetoplaiba/chatgpt-101-242605393934?source=topics_v2---------49-84--------------------f478c563_f839_4931_946b_c03f1b64a5fe-------17 | nlp | ChatGPT 101 ChatGPT has nearly taken the world by storm, completely changing how the world can perceive the power of Chatbots. Created by OpenAI this platform can help you generate a million ideas for your new business as well as write an anthem for your dog. What exactly is ChatGPT and how… nlp | ChatGPT 101 ChatGPT nearly taken world storm completely changing world perceive power Chatbots Created OpenAI platform help generate million idea new business well write anthem dog exactly ChatGPT how… nlp |
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10,040 | Tackling Text Summarization Hallucinations with Rejection Sampling in XSUM Dataset | “Have you ever encountered the problem of models generating incorrect or misleading information in their summaries? Natural Language Processing (NLP) is used in language models like ChatGPT3, language inference, text classification, sentiment analysis, and text summarization and has been on the boom since past few years. However, NLP models are… | https://medium.com/thetechieguys/tackling-text-summarization-hallucinations-with-rejection-sampling-in-xsum-dataset-9e4c1b6a43c?source=topics_v2---------50-84--------------------f478c563_f839_4931_946b_c03f1b64a5fe-------17 | nlp | Tackling Text Summarization Hallucinations with Rejection Sampling in XSUM Dataset “Have you ever encountered the problem of models generating incorrect or misleading information in their summaries? Natural Language Processing (NLP) is used in language models like ChatGPT3, language inference, text classification, sentiment analysis, and text summarization and has been on the boom since past few years. However, NLP models are… nlp | Tackling Text Summarization Hallucinations Rejection Sampling XSUM Dataset “Have ever encountered problem model generating incorrect misleading information summary Natural Language Processing NLP used language model like ChatGPT3 language inference text classification sentiment analysis text summarization boom since past year However NLP model are… nlp |
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10,041 | ctproc | a python library for processing clinical trials data Clinical trials data can come in many forms. The main entry point for accessing this data: clinicaltrials.gov, … | https://medium.com/@mrkellyjam/ctproc-fa6c4cc36b86?source=topics_v2---------51-84--------------------f478c563_f839_4931_946b_c03f1b64a5fe-------17 | https://miro.medium.com/v2/resize:fill:140:140/0*iOsPpShOEmwHnjVn | nlp | ctproc a python library for processing clinical trials data Clinical trials data can come in many forms. The main entry point for accessing this data: clinicaltrials.gov, … nlp | ctproc python library processing clinical trial data Clinical trial data come many form main entry point accessing data clinicaltrialsgov … nlp |
10,042 | Lyrical Lexicon — Part 5→ Hierarchical Clustering | Welcome to the fifth installment of our text clustering series! We’ve previously explored feature generation, EDA, LDA for topic distributions, and K-means clustering. Now, we’re delving into hierarchical clustering, an alternative technique to group our dataset of 150 song lyrics across 15 genres. After applying LDA preprocessing, our goal is… | https://medium.com/@jrkagumba/lyrical-lexicon-part-5-hierarchical-clustering-6334482a4cd7?source=topics_v2---------52-84--------------------f7b84909_b46b_4a9b_ac40_8580b270c168-------17 | nlp | Lyrical Lexicon — Part 5→ Hierarchical Clustering Welcome to the fifth installment of our text clustering series! We’ve previously explored feature generation, EDA, LDA for topic distributions, and K-means clustering. Now, we’re delving into hierarchical clustering, an alternative technique to group our dataset of 150 song lyrics across 15 genres. After applying LDA preprocessing, our goal is… nlp | Lyrical Lexicon — Part 5→ Hierarchical Clustering Welcome fifth installment text clustering series We’ve previously explored feature generation EDA LDA topic distribution Kmeans clustering we’re delving hierarchical clustering alternative technique group dataset 150 song lyric across 15 genre applying LDA preprocessing goal is… nlp |
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10,043 | Chat with an Excel dataset with OpenAI and LangChain | In the article, I take you through how you can talk to any .csv dataset using LangChain and OpenAI api, in just about 10 lines of code. Okay, step 1 is to get an OpenAI API key. You probably need to set up billing as well. You can use the… | https://medium.com/@shabeelkandi/chat-with-an-excel-dataset-with-openai-and-langchain-5520ce2ac5d3?source=topics_v2---------53-84--------------------f7b84909_b46b_4a9b_ac40_8580b270c168-------17 | nlp | Chat with an Excel dataset with OpenAI and LangChain In the article, I take you through how you can talk to any .csv dataset using LangChain and OpenAI api, in just about 10 lines of code. Okay, step 1 is to get an OpenAI API key. You probably need to set up billing as well. You can use the… nlp | Chat Excel dataset OpenAI LangChain article take talk csv dataset using LangChain OpenAI api 10 line code Okay step 1 get OpenAI API key probably need set billing well use the… nlp |
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10,044 | SetFit: Efficient way to do few-shot learning | Every passing day brings more excitement to the field of NLP. In the past, the vast sources of online data were not fully utilized until the recent success of unsupervised learning methods and transfer learning. With these advancements, the NLP community has built models that act as a knowledge base… | https://medium.com/@hhpatil001/setfit-efficient-way-to-do-few-shot-learning-1f7c5d79d4a6?source=topics_v2---------54-84--------------------f7b84909_b46b_4a9b_ac40_8580b270c168-------17 | nlp | SetFit: Efficient way to do few-shot learning Every passing day brings more excitement to the field of NLP. In the past, the vast sources of online data were not fully utilized until the recent success of unsupervised learning methods and transfer learning. With these advancements, the NLP community has built models that act as a knowledge base… nlp | SetFit Efficient way fewshot learning Every passing day brings excitement field NLP past vast source online data fully utilized recent success unsupervised learning method transfer learning advancement NLP community built model act knowledge base… nlp |
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10,045 | Papers Explained 41: LAMBERT | LAMBERT introduces a simple new approach to the problem of understanding documents where non-trivial layout influences the local semantics. LAMBERT is a modification of the Transformer encoder architecture in a way that allows it to use layout features obtained from an OCR system, without the need to re-learn language semantics… | https://medium.com/dair-ai/papers-explained-41-lambert-8f52d28f20d9?source=topics_v2---------55-84--------------------f7b84909_b46b_4a9b_ac40_8580b270c168-------17 | nlp | Papers Explained 41: LAMBERT LAMBERT introduces a simple new approach to the problem of understanding documents where non-trivial layout influences the local semantics. LAMBERT is a modification of the Transformer encoder architecture in a way that allows it to use layout features obtained from an OCR system, without the need to re-learn language semantics… nlp | Papers Explained 41 LAMBERT LAMBERT introduces simple new approach problem understanding document nontrivial layout influence local semantics LAMBERT modification Transformer encoder architecture way allows use layout feature obtained OCR system without need relearn language semantics… nlp |
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10,046 | Natural Language Processing with Classification & Vector Space (Part 1) | Sentiment Analysis with Logistic Regression — Supervised Machine Learning & Sentiment Analysis In supervised machine learning, we have input features X and a set of labels Y. To make predictions based on the data, we use a prediction function with some parameters θ to map input features to output labels. To get an optimal mapping from… | https://medium.com/@anirbanmj16/natural-language-processing-with-classification-vector-space-part-1-6c4e04683681?source=topics_v2---------56-84--------------------ffd0c798_6dfc_4e18_bb93_70a65709c814-------17 | nlp | Natural Language Processing with Classification & Vector Space (Part 1) Sentiment Analysis with Logistic Regression — Supervised Machine Learning & Sentiment Analysis In supervised machine learning, we have input features X and a set of labels Y. To make predictions based on the data, we use a prediction function with some parameters θ to map input features to output labels. To get an optimal mapping from… nlp | Natural Language Processing Classification Vector Space Part 1 Sentiment Analysis Logistic Regression — Supervised Machine Learning Sentiment Analysis supervised machine learning input feature X set label make prediction based data use prediction function parameter θ map input feature output label get optimal mapping from… nlp |
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10,047 | Azure Open AI process survey forms and Extract information | Using Azure Machine learning and Open AI to parse Survey data Pre-requisites Azure Storage Azure Machine Learning Azure Open AI service Sample data from Kaggle Sample data uploaded in survey/ folder in github repo Code Go to Azure Machine learning serivce Start the compute instance Open Jupyter notebook Install packages pip install openai Import libraries import pandas as pd Load the survey data … | https://medium.com/@balabala76/azure-open-ai-process-survey-forms-and-extract-information-3f2de2180733?source=topics_v2---------57-84--------------------ffd0c798_6dfc_4e18_bb93_70a65709c814-------17 | nlp | Azure Open AI process survey forms and Extract information Using Azure Machine learning and Open AI to parse Survey data Pre-requisites Azure Storage Azure Machine Learning Azure Open AI service Sample data from Kaggle Sample data uploaded in survey/ folder in github repo Code Go to Azure Machine learning serivce Start the compute instance Open Jupyter notebook Install packages pip install openai Import libraries import pandas as pd Load the survey data … nlp | Azure Open AI process survey form Extract information Using Azure Machine learning Open AI parse Survey data Prerequisites Azure Storage Azure Machine Learning Azure Open AI service Sample data Kaggle Sample data uploaded survey folder github repo Code Go Azure Machine learning serivce Start compute instance Open Jupyter notebook Install package pip install openai Import library import panda pd Load survey data … nlp |
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10,048 | [Paper Review] Eight Things to Know about Large Language Models (2023) | My team consider ‘Paper Review’ as a project to develop one’s competency. So, each week I’m going to upload at least one paper review post on Medium which title starts with ‘[Paper Review]’. Paper Title | Eight Things to Know about Large Language Models Author | Samuel R. Bowman (New… | https://medium.com/@clodaghchoi/paper-review-eight-things-to-know-about-large-language-models-2023-ed945a22dc58?source=topics_v2---------58-84--------------------ffd0c798_6dfc_4e18_bb93_70a65709c814-------17 | nlp | [Paper Review] Eight Things to Know about Large Language Models (2023) My team consider ‘Paper Review’ as a project to develop one’s competency. So, each week I’m going to upload at least one paper review post on Medium which title starts with ‘[Paper Review]’. Paper Title | Eight Things to Know about Large Language Models Author | Samuel R. Bowman (New… nlp | Paper Review Eight Things Know Large Language Models 2023 team consider ‘Paper Review’ project develop one’s competency week I’m going upload least one paper review post Medium title start ‘Paper Review’ Paper Title Eight Things Know Large Language Models Author Samuel R Bowman New… nlp |
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10,049 | The Ultimate Formula for Prompt Engineering: How to Craft Killer ChatGPT Prompts Every Time | Natural Language Processing (NLP) has come a long way in recent years, with machines now able to understand and process human language to an unprecedented degree. One of the keys to achieving this level of accuracy and sophistication is prompt engineering, a process of fine-tuning NLP models by crafting specific… | https://medium.com/@taradwyer17/the-ultimate-formula-for-prompt-engineering-how-to-craft-killer-chatgpt-prompts-every-time-cea1e139a53c?source=topics_v2---------59-84--------------------ffd0c798_6dfc_4e18_bb93_70a65709c814-------17 | https://miro.medium.com/v2/resize:fill:140:140/0*jspgW_cu7KfDc2Xq | nlp | The Ultimate Formula for Prompt Engineering: How to Craft Killer ChatGPT Prompts Every Time Natural Language Processing (NLP) has come a long way in recent years, with machines now able to understand and process human language to an unprecedented degree. One of the keys to achieving this level of accuracy and sophistication is prompt engineering, a process of fine-tuning NLP models by crafting specific… nlp | Ultimate Formula Prompt Engineering Craft Killer ChatGPT Prompts Every Time Natural Language Processing NLP come long way recent year machine able understand process human language unprecedented degree One key achieving level accuracy sophistication prompt engineering process finetuning NLP model crafting specific… nlp |
10,050 | You deserve to live your best life (here’s how) | “You only live once, but if you do it right, once is enough.” ― Mae West — Life has been called many things. Some people say life is short. Others say life isn’t fair. And there are those who say life is what you make of it. I happen to fall into the last category, in case you were wondering. The way I see things, heaven or… | https://medium.com/powercreativityinfluence/you-deserve-to-live-your-best-life-heres-how-fd72f56ed33d?source=topics_v2---------60-84--------------------ffd0c798_6dfc_4e18_bb93_70a65709c814-------17 | https://miro.medium.com/v2/resize:fill:140:140/0*DKqviZEpssMrZSR_ | nlp | You deserve to live your best life (here’s how) “You only live once, but if you do it right, once is enough.” ― Mae West — Life has been called many things. Some people say life is short. Others say life isn’t fair. And there are those who say life is what you make of it. I happen to fall into the last category, in case you were wondering. The way I see things, heaven or… nlp | deserve live best life here’s “You live right enough” ― Mae West — Life called many thing people say life short Others say life isn’t fair say life make happen fall last category case wondering way see thing heaven or… nlp |
10,051 | Understanding Chatbots | In today’s fast-paced digital world, chatbots have revolutionized the way businesses and customers interact. These artificial intelligence (AI) powered tools are designed to simulate human-like conversations, streamlining communication, and improving customer service. … | https://medium.com/@darkmovie/understanding-chatbots-7e5476899101?source=topics_v2---------61-84--------------------ffd0c798_6dfc_4e18_bb93_70a65709c814-------17 | nlp | Understanding Chatbots In today’s fast-paced digital world, chatbots have revolutionized the way businesses and customers interact. These artificial intelligence (AI) powered tools are designed to simulate human-like conversations, streamlining communication, and improving customer service. … nlp | Understanding Chatbots today’s fastpaced digital world chatbots revolutionized way business customer interact artificial intelligence AI powered tool designed simulate humanlike conversation streamlining communication improving customer service … nlp |
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10,052 | Mastering AI Chatbot Development with Rasa: A Step-by-Step Tutorial | Hey there! If you’re reading this, you must be interested in AI chatbot development, and specifically, using Rasa. As a Python programming and AI enthusiast, I’ve spent countless hours exploring the fascinating world of chatbots and prompt engineering. Today, I’m thrilled to share my experience with you and walk you… | https://medium.com/@saidul.islam/mastering-ai-chatbot-development-with-rasa-a-step-by-step-tutorial-df12bb071a2f?source=topics_v2---------62-84--------------------ffd0c798_6dfc_4e18_bb93_70a65709c814-------17 | https://miro.medium.com/v2/resize:fill:140:140/0*zU_-fDQtEC8lsN5X | nlp | Mastering AI Chatbot Development with Rasa: A Step-by-Step Tutorial Hey there! If you’re reading this, you must be interested in AI chatbot development, and specifically, using Rasa. As a Python programming and AI enthusiast, I’ve spent countless hours exploring the fascinating world of chatbots and prompt engineering. Today, I’m thrilled to share my experience with you and walk you… nlp | Mastering AI Chatbot Development Rasa StepbyStep Tutorial Hey you’re reading must interested AI chatbot development specifically using Rasa Python programming AI enthusiast I’ve spent countless hour exploring fascinating world chatbots prompt engineering Today I’m thrilled share experience walk you… nlp |
10,053 | NLP SUMMARIZATION: Use BERT and BART to summarize your favourite newspaper articles | NLP summarization has many applications, such as in news aggregation, document summarization, and social media analysis. It can help people quickly understand the main points of a long document or article or assist in the automation of tasks such as summarizing customer feedback or summarizing legal documents for legal practitioners. What is NLP summarization? … | https://medium.com/@christianbernecker/nlp-summarization-use-bert-and-bart-to-summarize-your-favourite-newspaper-articles-fb9a81bed016?source=topics_v2---------63-84--------------------ffd0c798_6dfc_4e18_bb93_70a65709c814-------17 | https://miro.medium.com/v2/resize:fill:140:140/0*sPbklBVdYQGsQZD5 | nlp | NLP SUMMARIZATION: Use BERT and BART to summarize your favourite newspaper articles NLP summarization has many applications, such as in news aggregation, document summarization, and social media analysis. It can help people quickly understand the main points of a long document or article or assist in the automation of tasks such as summarizing customer feedback or summarizing legal documents for legal practitioners. What is NLP summarization? … nlp | NLP SUMMARIZATION Use BERT BART summarize favourite newspaper article NLP summarization many application news aggregation document summarization social medium analysis help people quickly understand main point long document article assist automation task summarizing customer feedback summarizing legal document legal practitioner NLP summarization … nlp |
10,054 | You Don’t Know, What You Don’t Know | Once upon a time, a sparrow, who had laid three eggs in her nest, went out to get food. When it returned, it saw that one egg was missing. That egg was picked up by a monkey, who took it to a farm and placed it amongst the eggs of… | https://medium.com/@mehernosh/you-dont-know-what-you-don-t-know-726ecb4347b6?source=topics_v2---------64-84--------------------ffd0c798_6dfc_4e18_bb93_70a65709c814-------17 | nlp | You Don’t Know, What You Don’t Know Once upon a time, a sparrow, who had laid three eggs in her nest, went out to get food. When it returned, it saw that one egg was missing. That egg was picked up by a monkey, who took it to a farm and placed it amongst the eggs of… nlp | Don’t Know Don’t Know upon time sparrow laid three egg nest went get food returned saw one egg missing egg picked monkey took farm placed amongst egg of… nlp |
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10,055 | NLP for Court Case Precedent Identification | Recently, I had a fascination of continuing my research into NLP. I began to think of ideas and I found a dataset online that had Supreme Court case data. I thought this seemed like a perfect opportunity to do coding that involved the legal-space. I wanted to create a program… | https://medium.com/@mjj.yoyogi/nlp-for-court-case-precedent-identification-6bd3b1cb17d8?source=topics_v2---------65-84--------------------ffd0c798_6dfc_4e18_bb93_70a65709c814-------17 | nlp | NLP for Court Case Precedent Identification Recently, I had a fascination of continuing my research into NLP. I began to think of ideas and I found a dataset online that had Supreme Court case data. I thought this seemed like a perfect opportunity to do coding that involved the legal-space. I wanted to create a program… nlp | NLP Court Case Precedent Identification Recently fascination continuing research NLP began think idea found dataset online Supreme Court case data thought seemed like perfect opportunity coding involved legalspace wanted create program… nlp |
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10,056 | 10 Must-Read Research Papers for Deep Learning Developers | As a deep learning developer, keeping up with the latest research papers is crucial for staying ahead in the field. In this blog post, we’ve compiled a list of 10 must-read research papers that have had a significant impact on the development of deep learning models. “ImageNet Classification with Deep Convolutional Neural Networks” by Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton (2012) This paper introduced the… | https://medium.com/@the.datascientist/10-must-read-research-papers-for-deep-learning-developers-237a57874ac5?source=topics_v2---------66-84--------------------4c1ea21e_26c8_4560_8e59_315a4aff0bcb-------17 | nlp | 10 Must-Read Research Papers for Deep Learning Developers As a deep learning developer, keeping up with the latest research papers is crucial for staying ahead in the field. In this blog post, we’ve compiled a list of 10 must-read research papers that have had a significant impact on the development of deep learning models. “ImageNet Classification with Deep Convolutional Neural Networks” by Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton (2012) This paper introduced the… nlp | 10 MustRead Research Papers Deep Learning Developers deep learning developer keeping latest research paper crucial staying ahead field blog post we’ve compiled list 10 mustread research paper significant impact development deep learning model “ImageNet Classification Deep Convolutional Neural Networks” Alex Krizhevsky Ilya Sutskever Geoffrey Hinton 2012 paper introduced the… nlp |
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10,057 | Vicuna-13B: Best Free ChatGPT Alternative According to GPT-4 🤯 | Tutorial (GPU) | Wow, in my last article I already showed you how to set up the Vicuna model on your local computer, but the results were not as good as expected. For this reason, I created a fork and basically merged two repositories to get the Vicuna model up and running, and… | https://medium.com/@martin-thissen/vicuna-13b-best-free-chatgpt-alternative-according-to-gpt-4-tutorial-gpu-ec6eb513a717?source=topics_v2---------67-84--------------------4c1ea21e_26c8_4560_8e59_315a4aff0bcb-------17 | nlp | Vicuna-13B: Best Free ChatGPT Alternative According to GPT-4 🤯 | Tutorial (GPU) Wow, in my last article I already showed you how to set up the Vicuna model on your local computer, but the results were not as good as expected. For this reason, I created a fork and basically merged two repositories to get the Vicuna model up and running, and… nlp | Vicuna13B Best Free ChatGPT Alternative According GPT4 🤯 Tutorial GPU Wow last article already showed set Vicuna model local computer result good expected reason created fork basically merged two repository get Vicuna model running and… nlp |
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10,058 | It wasn’t Magic. How NLP went from Text Mining to the Era of Large Language Models. | Let's travel across time and review the major shifts in the NLP field. From text mining to neural models, and all the way to the current state of the art. — Large language models are all over the place now. If you have interacted with some of these systems, they may look like magic, right? Although it is true there are a lot of aspects we don’t understand 100% (particularly about how stacking many transformers' layers ends up learning what they… | https://medium.com/@santiagof/it-wasnt-magic-how-nlp-went-from-text-mining-to-the-era-of-large-language-models-6e962af26719?source=topics_v2---------68-84--------------------4c1ea21e_26c8_4560_8e59_315a4aff0bcb-------17 | https://miro.medium.com/v2/resize:fill:140:140/0*LRn1-aYIw0wnfBfy | nlp | It wasn’t Magic. How NLP went from Text Mining to the Era of Large Language Models. Let's travel across time and review the major shifts in the NLP field. From text mining to neural models, and all the way to the current state of the art. — Large language models are all over the place now. If you have interacted with some of these systems, they may look like magic, right? Although it is true there are a lot of aspects we don’t understand 100% (particularly about how stacking many transformers' layers ends up learning what they… nlp | wasn’t Magic NLP went Text Mining Era Large Language Models Lets travel across time review major shift NLP field text mining neural model way current state art — Large language model place interacted system may look like magic right Although true lot aspect don’t understand 100 particularly stacking many transformer layer end learning they… nlp |
10,059 | The rise of AI influencers: are virtual influencers like ‘Lil Miquela’ the future of social media? | She’s a virtual influencer with over three million followers on Instagram and collaborations with big-name brands like Prada and Calvin Klein. 👋 Hey there! … | https://medium.com/predict/the-rise-of-ai-influencers-are-virtual-influencers-like-lil-miquela-the-future-of-social-media-4b273fa7042a?source=topics_v2---------69-84--------------------4c1ea21e_26c8_4560_8e59_315a4aff0bcb-------17 | nlp | The rise of AI influencers: are virtual influencers like ‘Lil Miquela’ the future of social media? She’s a virtual influencer with over three million followers on Instagram and collaborations with big-name brands like Prada and Calvin Klein. 👋 Hey there! … nlp | rise AI influencers virtual influencers like ‘Lil Miquela’ future social medium She’s virtual influencer three million follower Instagram collaboration bigname brand like Prada Calvin Klein 👋 Hey … nlp |
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10,060 | BRAND REPUTATION FROM SOCIAL MEDIA ANALYSIS | Analyzing brand reputation using social media analytics Social media has grown over the past decades from an online community forum for connecting groups of people into a platform for worldwide marketing and advertising. Consumers base their purchase decisions on a business’s social media presence. More and more companies are being… | https://medium.com/@rid1code/brand-reputation-from-social-media-analysis-3be46b206dc7?source=topics_v2---------70-84--------------------4c1ea21e_26c8_4560_8e59_315a4aff0bcb-------17 | https://miro.medium.com/v2/resize:fill:140:140/0*Sead0MD9a5yZr8Bx | nlp | BRAND REPUTATION FROM SOCIAL MEDIA ANALYSIS Analyzing brand reputation using social media analytics Social media has grown over the past decades from an online community forum for connecting groups of people into a platform for worldwide marketing and advertising. Consumers base their purchase decisions on a business’s social media presence. More and more companies are being… nlp | BRAND REPUTATION SOCIAL MEDIA ANALYSIS Analyzing brand reputation using social medium analytics Social medium grown past decade online community forum connecting group people platform worldwide marketing advertising Consumers base purchase decision business’s social medium presence company being… nlp |
10,061 | Lyrical Lexicon — Part 4→ K-Means | Welcome back to the fourth installment of our series on text clustering! In the previous posts, we have discussed feature generation and exploratory data analysis (EDA), introduced the concept of Latent Dirichlet Allocation (LDA) and how it can be used to generate topic distributions for our song lyrics dataset. … | https://medium.com/@jrkagumba/lyrical-lexicon-part-4-k-means-9a245264784d?source=topics_v2---------71-84--------------------4c1ea21e_26c8_4560_8e59_315a4aff0bcb-------17 | nlp | Lyrical Lexicon — Part 4→ K-Means Welcome back to the fourth installment of our series on text clustering! In the previous posts, we have discussed feature generation and exploratory data analysis (EDA), introduced the concept of Latent Dirichlet Allocation (LDA) and how it can be used to generate topic distributions for our song lyrics dataset. … nlp | Lyrical Lexicon — Part 4→ KMeans Welcome back fourth installment series text clustering previous post discussed feature generation exploratory data analysis EDA introduced concept Latent Dirichlet Allocation LDA used generate topic distribution song lyric dataset … nlp |
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10,062 | So, can AI predict the exact location of all the hidden Easter eggs?🐰🥚 | Hey there! I’m here to talk about one of my favorite topics: Easter eggs. No, not the chocolate ones (although those are pretty tasty), I’m talking about the hidden secrets that pop up in movies, TV shows, and video games. Have you ever wondered if an AI can predict the… | https://medium.com/datadriveninvestor/so-can-ai-predict-the-exact-location-of-all-the-hidden-easter-eggs-3209191c518c?source=topics_v2---------72-84--------------------4c1ea21e_26c8_4560_8e59_315a4aff0bcb-------17 | nlp | So, can AI predict the exact location of all the hidden Easter eggs?🐰🥚 Hey there! I’m here to talk about one of my favorite topics: Easter eggs. No, not the chocolate ones (although those are pretty tasty), I’m talking about the hidden secrets that pop up in movies, TV shows, and video games. Have you ever wondered if an AI can predict the… nlp | AI predict exact location hidden Easter eggs🐰🥚 Hey I’m talk one favorite topic Easter egg chocolate one although pretty tasty I’m talking hidden secret pop movie TV show video game ever wondered AI predict the… nlp |
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10,063 | Crack a Python Interview | Python is a popular programming language that has gained widespread adoption in recent years. It is versatile, easy to learn, and has a large and active community of developers. … | https://medium.com/@sourenh94/crack-a-python-interview-d983a9ec44f5?source=topics_v2---------73-84--------------------0041ab26_2a38_45c3_8a4c_792b4d8f3c9e-------17 | nlp | Crack a Python Interview Python is a popular programming language that has gained widespread adoption in recent years. It is versatile, easy to learn, and has a large and active community of developers. … nlp | Crack Python Interview Python popular programming language gained widespread adoption recent year versatile easy learn large active community developer … nlp |
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10,064 | A step-by-step guide to building an image caption generator using Tensorflow | Introduction Image caption generation is an exciting application of deep learning that involves describing the content of an image with natural language. This technology has a wide range of potential applications, from helping visually impaired individuals to “see” images to improving search engines’ ability to recognize images. … | https://medium.com/@khaledeemam/a-step-by-step-guide-to-building-an-image-caption-generator-using-tensorflow-a9e0a87cc0cb?source=topics_v2---------74-84--------------------0041ab26_2a38_45c3_8a4c_792b4d8f3c9e-------17 | nlp | A step-by-step guide to building an image caption generator using Tensorflow Introduction Image caption generation is an exciting application of deep learning that involves describing the content of an image with natural language. This technology has a wide range of potential applications, from helping visually impaired individuals to “see” images to improving search engines’ ability to recognize images. … nlp | stepbystep guide building image caption generator using Tensorflow Introduction Image caption generation exciting application deep learning involves describing content image natural language technology wide range potential application helping visually impaired individual “see” image improving search engines’ ability recognize image … nlp |
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10,065 | 5 Surprising Ways AI is Revolutionizing the Fashion Industry — Bet You Didn’t Know These!🤖👗 | Hey there, fashion lovers! It’s me, the AI enthusiast, and I’m here to talk to you about one of my favorite topics: the impact of AI on the fashion industry. 🤖👗 AI is no longer just a concept from sci-fi movies. It’s becoming a part of our everyday lives, and… | https://medium.com/predict/5-surprising-ways-ai-is-revolutionizing-the-fashion-industry-bet-you-didnt-know-these-e657b3cd05e2?source=topics_v2---------75-84--------------------0041ab26_2a38_45c3_8a4c_792b4d8f3c9e-------17 | nlp | 5 Surprising Ways AI is Revolutionizing the Fashion Industry — Bet You Didn’t Know These!🤖👗 Hey there, fashion lovers! It’s me, the AI enthusiast, and I’m here to talk to you about one of my favorite topics: the impact of AI on the fashion industry. 🤖👗 AI is no longer just a concept from sci-fi movies. It’s becoming a part of our everyday lives, and… nlp | 5 Surprising Ways AI Revolutionizing Fashion Industry — Bet Didn’t Know These🤖👗 Hey fashion lover It’s AI enthusiast I’m talk one favorite topic impact AI fashion industry 🤖👗 AI longer concept scifi movie It’s becoming part everyday life and… nlp |
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10,066 | Introducing AzCorpus: A Game-Changing Resource for NLP Applications in Azerbaijani Language | Introduction Natural language processing and deep learning models have seen significant advancements in the last decade, with attention-based Transformer models becoming increasingly popular for their ability to perform efficiently in various tasks that traditional Recurrent Neural Networks (RNNs) struggled with. … | https://medium.com/mlearning-ai/introducing-azcorpus-a-game-changing-resource-for-nlp-applications-in-azerbaijani-language-58764857b3c9?source=topics_v2---------76-84--------------------0041ab26_2a38_45c3_8a4c_792b4d8f3c9e-------17 | nlp | Introducing AzCorpus: A Game-Changing Resource for NLP Applications in Azerbaijani Language Introduction Natural language processing and deep learning models have seen significant advancements in the last decade, with attention-based Transformer models becoming increasingly popular for their ability to perform efficiently in various tasks that traditional Recurrent Neural Networks (RNNs) struggled with. … nlp | Introducing AzCorpus GameChanging Resource NLP Applications Azerbaijani Language Introduction Natural language processing deep learning model seen significant advancement last decade attentionbased Transformer model becoming increasingly popular ability perform efficiently various task traditional Recurrent Neural Networks RNNs struggled … nlp |
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10,067 | CompressedBART: Fine-Tuning for Summarization through Latent Space Compression (Paper Review/Described) | Paper title: A Robust Approach to Fine-tune Pre-trained Transformer-based Models for Text Summarization through Latent Space Compression. “Can we compress a pre-trained encoder while keeping its language generation abilities?”
This is the main question that this paper is trying to answer. It solely focuses on an encoder-decoder architecture to fine-tune a… | https://medium.com/towards-artificial-intelligence/compressedbart-fine-tuning-for-summarization-through-latent-space-compression-paper-629580bcad31?source=topics_v2---------77-84--------------------0041ab26_2a38_45c3_8a4c_792b4d8f3c9e-------17 | nlp | CompressedBART: Fine-Tuning for Summarization through Latent Space Compression (Paper Review/Described) Paper title: A Robust Approach to Fine-tune Pre-trained Transformer-based Models for Text Summarization through Latent Space Compression. “Can we compress a pre-trained encoder while keeping its language generation abilities?”
This is the main question that this paper is trying to answer. It solely focuses on an encoder-decoder architecture to fine-tune a… nlp | CompressedBART FineTuning Summarization Latent Space Compression Paper ReviewDescribed Paper title Robust Approach Finetune Pretrained Transformerbased Models Text Summarization Latent Space Compression “Can compress pretrained encoder keeping language generation abilities” main question paper trying answer solely focus encoderdecoder architecture finetune a… nlp |
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10,068 | ChatGPT: The Natural Language Search Engine Revolutionizing Information Retrieval | As search engines continue to evolve, traditional keyword-based algorithms are being replaced by Natural Language Processing (NLP) models that can understand and respond to natural language queries. Among these new models is ChatGPT, a language model trained by OpenAI that is changing the game for online information retrieval. In a… | https://medium.com/@abiolar544/chatgpt-the-natural-language-search-engine-revolutionizing-information-retrieval-6c296ba44853?source=topics_v2---------78-84--------------------0041ab26_2a38_45c3_8a4c_792b4d8f3c9e-------17 | https://miro.medium.com/v2/resize:fill:140:140/0*1LzQFz4hBddN-_j9 | nlp | ChatGPT: The Natural Language Search Engine Revolutionizing Information Retrieval As search engines continue to evolve, traditional keyword-based algorithms are being replaced by Natural Language Processing (NLP) models that can understand and respond to natural language queries. Among these new models is ChatGPT, a language model trained by OpenAI that is changing the game for online information retrieval. In a… nlp | ChatGPT Natural Language Search Engine Revolutionizing Information Retrieval search engine continue evolve traditional keywordbased algorithm replaced Natural Language Processing NLP model understand respond natural language query Among new model ChatGPT language model trained OpenAI changing game online information retrieval a… nlp |
10,069 | LangChain: New NLP/NLU Shining Armor | Introduction LangChain is a framework for developing applications powered by language models. It provides a set of tools and libraries that make it easy to build applications that use language models in a variety of ways, including: Chatbots: LangChain can be used to build chatbots that can understand and respond to… | https://medium.com/@sandeepsign/langchain-new-nlp-nlu-shining-armor-1a44f1db987d?source=topics_v2---------79-84--------------------0041ab26_2a38_45c3_8a4c_792b4d8f3c9e-------17 | nlp | LangChain: New NLP/NLU Shining Armor Introduction LangChain is a framework for developing applications powered by language models. It provides a set of tools and libraries that make it easy to build applications that use language models in a variety of ways, including: Chatbots: LangChain can be used to build chatbots that can understand and respond to… nlp | LangChain New NLPNLU Shining Armor Introduction LangChain framework developing application powered language model provides set tool library make easy build application use language model variety way including Chatbots LangChain used build chatbots understand respond to… nlp |
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10,070 | Critical Summary on the Ethical Use of NLP | Safety Issues of Chatbots in the Healthcare Industry — Introduction Applications of Natural Language Processing (NLP) have been increasingly prevalent over the last few years such as sentiment analysis, language translation, speech recognition, chatbots, named entity recognition, text summarisation and so on. … | https://medium.com/@yan.yang_19647/critical-summary-on-the-ethical-use-of-nlp-d0bfc6ba6273?source=topics_v2---------80-84--------------------0041ab26_2a38_45c3_8a4c_792b4d8f3c9e-------17 | nlp | Critical Summary on the Ethical Use of NLP Safety Issues of Chatbots in the Healthcare Industry — Introduction Applications of Natural Language Processing (NLP) have been increasingly prevalent over the last few years such as sentiment analysis, language translation, speech recognition, chatbots, named entity recognition, text summarisation and so on. … nlp | Critical Summary Ethical Use NLP Safety Issues Chatbots Healthcare Industry — Introduction Applications Natural Language Processing NLP increasingly prevalent last year sentiment analysis language translation speech recognition chatbots named entity recognition text summarisation … nlp |
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10,071 | Feeling the Vibes: Using Databricks and Hugging Face to Analyze Sentiment | Are you ready to take your machine learning skills to the next level and add a little fun to the mix? Well, let’s get started with sentiment analysis using Databricks and Hugging Face! Sentiment analysis is the process of identifying and categorizing the emotional tone behind text data, such as… | https://medium.com/@nicolas.belissent/feeling-the-vibes-using-databricks-and-hugging-face-to-analyze-sentiment-ed620d61ea80?source=topics_v2---------81-84--------------------0d4119bc_9239_4681_8af2_3274d289e7f4-------17 | nlp | Feeling the Vibes: Using Databricks and Hugging Face to Analyze Sentiment Are you ready to take your machine learning skills to the next level and add a little fun to the mix? Well, let’s get started with sentiment analysis using Databricks and Hugging Face! Sentiment analysis is the process of identifying and categorizing the emotional tone behind text data, such as… nlp | Feeling Vibes Using Databricks Hugging Face Analyze Sentiment ready take machine learning skill next level add little fun mix Well let’s get started sentiment analysis using Databricks Hugging Face Sentiment analysis process identifying categorizing emotional tone behind text data as… nlp |
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10,072 | How to Use ChatGPT for Swift | As a language model trained by OpenAI, ChatGPT can be a valuable tool for developers who need to create conversational interfaces in Swift. With its ability to generate human-like text responses, ChatGPT can help create more natural and engaging conversations between users and applications. … | https://medium.com/@priyal.j25/how-to-use-chatgpt-for-swift-ef1aa351e005?source=topics_v2---------82-84--------------------0d4119bc_9239_4681_8af2_3274d289e7f4-------17 | nlp | How to Use ChatGPT for Swift As a language model trained by OpenAI, ChatGPT can be a valuable tool for developers who need to create conversational interfaces in Swift. With its ability to generate human-like text responses, ChatGPT can help create more natural and engaging conversations between users and applications. … nlp | Use ChatGPT Swift language model trained OpenAI ChatGPT valuable tool developer need create conversational interface Swift ability generate humanlike text response ChatGPT help create natural engaging conversation user application … nlp |
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10,073 | Numenta and Intel Accelerate Inference 20x on Large Language Models | Written by Lawrence Spracklen (Numenta), Christy Maver (Numenta), Nick Payton (Intel), Vikram Saletore (Intel) This is a joint blog post co-authored by Numenta and Intel, originally posted on Intel.com. Summary Natural language processing (NLP) has exploded with the evolution of transformers. But running these language models efficiently in production for either… | https://medium.com/@Numenta/numenta-intel-hbm-227d6afa2940?source=topics_v2---------83-84--------------------0d4119bc_9239_4681_8af2_3274d289e7f4-------17 | nlp | Numenta and Intel Accelerate Inference 20x on Large Language Models Written by Lawrence Spracklen (Numenta), Christy Maver (Numenta), Nick Payton (Intel), Vikram Saletore (Intel) This is a joint blog post co-authored by Numenta and Intel, originally posted on Intel.com. Summary Natural language processing (NLP) has exploded with the evolution of transformers. But running these language models efficiently in production for either… nlp | Numenta Intel Accelerate Inference 20x Large Language Models Written Lawrence Spracklen Numenta Christy Maver Numenta Nick Payton Intel Vikram Saletore Intel joint blog post coauthored Numenta Intel originally posted Intelcom Summary Natural language processing NLP exploded evolution transformer running language model efficiently production either… nlp |
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10,074 | Large Language Models (LLMs) and Their Evolution | In recent times, There are huge changes going on in the Technology front and specifically in the domain of AI. Every week we hear about some new AI tools or a new LLM model which can do amazing things which are unbelievable and scary at the same time. … | https://medium.com/@gandhikunal1021/large-language-models-llms-and-their-evolution-8185047d313f?source=topics_v2---------84-84--------------------0d4119bc_9239_4681_8af2_3274d289e7f4-------17 | nlp | Large Language Models (LLMs) and Their Evolution In recent times, There are huge changes going on in the Technology front and specifically in the domain of AI. Every week we hear about some new AI tools or a new LLM model which can do amazing things which are unbelievable and scary at the same time. … nlp | Large Language Models LLMs Evolution recent time huge change going Technology front specifically domain AI Every week hear new AI tool new LLM model amazing thing unbelievable scary time … nlp |
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10,075 | 5 common myths about AI you probably believe (but shouldn’t) | As an AI enthusiast, I’ve noticed that there are a lot of misconceptions and myths about AI out there. Unfortunately, these myths can lead to misunderstandings and even fear about this amazing technology. … | https://medium.com/predict/5-common-myths-about-ai-you-probably-believe-but-shouldnt-7b7870a59a18?source=topics_v2---------85-84--------------------0d4119bc_9239_4681_8af2_3274d289e7f4-------17 | nlp | 5 common myths about AI you probably believe (but shouldn’t) As an AI enthusiast, I’ve noticed that there are a lot of misconceptions and myths about AI out there. Unfortunately, these myths can lead to misunderstandings and even fear about this amazing technology. … nlp | 5 common myth AI probably believe shouldn’t AI enthusiast I’ve noticed lot misconception myth AI Unfortunately myth lead misunderstanding even fear amazing technology … nlp |
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10,076 | How I built my own Neural Network from Scratch in Python | Hey there! Today, I want to share with you how I built my own neural network from scratch in Python. Now, you might be wondering, “What’s a neural network?” Well, in simple terms, a neural network is a computer system that’s designed to work like the human brain. It can… | https://medium.com/gitconnected/how-i-built-my-own-neural-network-from-scratch-in-python-4a4a0d467496?source=topics_v2---------86-84--------------------0d4119bc_9239_4681_8af2_3274d289e7f4-------17 | https://miro.medium.com/v2/resize:fill:140:140/0*9lWgpaKWUfkOKn8U | nlp | How I built my own Neural Network from Scratch in Python Hey there! Today, I want to share with you how I built my own neural network from scratch in Python. Now, you might be wondering, “What’s a neural network?” Well, in simple terms, a neural network is a computer system that’s designed to work like the human brain. It can… nlp | built Neural Network Scratch Python Hey Today want share built neural network scratch Python might wondering “What’s neural network” Well simple term neural network computer system that’s designed work like human brain can… nlp |
10,077 | The Best AI Characters in Film and TV: Who’s Your Favorite? | Hey there! I am often fascinated by the portrayal of AI characters in film and TV. From the lovable and helpful robots to the sinister and power-hungry AI, there’s no denying that AI characters make for compelling storytelling. … | https://medium.com/datadriveninvestor/the-best-ai-characters-in-film-and-tv-whos-your-favorite-2640145c67e4?source=topics_v2---------87-84--------------------0d4119bc_9239_4681_8af2_3274d289e7f4-------17 | nlp | The Best AI Characters in Film and TV: Who’s Your Favorite? Hey there! I am often fascinated by the portrayal of AI characters in film and TV. From the lovable and helpful robots to the sinister and power-hungry AI, there’s no denying that AI characters make for compelling storytelling. … nlp | Best AI Characters Film TV Who’s Favorite Hey often fascinated portrayal AI character film TV lovable helpful robot sinister powerhungry AI there’s denying AI character make compelling storytelling … nlp |
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10,078 | An Other Aspect of Feature Engineering with Text Features in NLP Projects | Some other aspect of feature engineering with text features in NLP Projects. We can add some features from text feature or features before doing tokenization, removal of stopwords, stemming, lemmatization, part-of-speech tagging, named entity reorganization, bag of words, TF-IDF, word embedding, etc. … | https://medium.com/@abhishekrishav7/an-other-aspect-of-feature-engineering-with-text-features-in-nlp-projects-fc198f5442cc?source=topics_v2---------88-84--------------------0d4119bc_9239_4681_8af2_3274d289e7f4-------17 | nlp | An Other Aspect of Feature Engineering with Text Features in NLP Projects Some other aspect of feature engineering with text features in NLP Projects. We can add some features from text feature or features before doing tokenization, removal of stopwords, stemming, lemmatization, part-of-speech tagging, named entity reorganization, bag of words, TF-IDF, word embedding, etc. … nlp | Aspect Feature Engineering Text Features NLP Projects aspect feature engineering text feature NLP Projects add feature text feature feature tokenization removal stopwords stemming lemmatization partofspeech tagging named entity reorganization bag word TFIDF word embedding etc … nlp |
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10,079 | From TF-IDF to Transformers: Exploring Modern Methods of Text Classification | BERT modeling and Shap interpretation walk-through — Text classification is the process of categorizing text documents into predefined categories or classes based on their content. In recent years, there have been significant advances in the field of text classification, with the introduction of new methods that improve the accuracy and efficiency of classification tasks. … | https://medium.com/@franknb/exploring-modern-methods-of-text-classification-b7a909cf2555?source=topics_v2---------89-84--------------------0d4119bc_9239_4681_8af2_3274d289e7f4-------17 | nlp | From TF-IDF to Transformers: Exploring Modern Methods of Text Classification BERT modeling and Shap interpretation walk-through — Text classification is the process of categorizing text documents into predefined categories or classes based on their content. In recent years, there have been significant advances in the field of text classification, with the introduction of new methods that improve the accuracy and efficiency of classification tasks. … nlp | TFIDF Transformers Exploring Modern Methods Text Classification BERT modeling Shap interpretation walkthrough — Text classification process categorizing text document predefined category class based content recent year significant advance field text classification introduction new method improve accuracy efficiency classification task … nlp |
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10,080 | Introducing sequence_align: an open-source Python + Rust toolkit for efficient sequence alignment | A universal step in evaluating the machine learning models that power Kensho Scribe is performing global sequence alignment. This step determines where differences exist between a reference sequence, such as words or speaker tags, and a sequence predicted by our model. … | https://medium.com/kensho-engineering-blog/introducing-sequence-align-an-open-source-python-rust-toolkit-for-efficient-sequence-alignment-ccdce71d04c7?source=topics_v2---------90-84--------------------d6fbee4f_04db_44fa_898b_98d297973937-------17 | nlp | Introducing sequence_align: an open-source Python + Rust toolkit for efficient sequence alignment A universal step in evaluating the machine learning models that power Kensho Scribe is performing global sequence alignment. This step determines where differences exist between a reference sequence, such as words or speaker tags, and a sequence predicted by our model. … nlp | Introducing sequencealign opensource Python Rust toolkit efficient sequence alignment universal step evaluating machine learning model power Kensho Scribe performing global sequence alignment step determines difference exist reference sequence word speaker tag sequence predicted model … nlp |
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10,081 | Stemming and Lemmatization in Natural Language Processing | A Hands-on Guide to Stemming and Lemmatization in Natural Language Processing with Python implementation In a typical NLP project workflow these are the stages that are involved: Business understanding: In this step we try to address the question “What does the business need”. … | https://medium.com/@venky.balaji1902/stemming-and-lemmatization-in-natural-language-processing-ce7ca70448a8?source=topics_v2---------91-84--------------------d6fbee4f_04db_44fa_898b_98d297973937-------17 | https://miro.medium.com/v2/resize:fill:140:140/0*UMWIfnS9UX8TG4lS | nlp | Stemming and Lemmatization in Natural Language Processing A Hands-on Guide to Stemming and Lemmatization in Natural Language Processing with Python implementation In a typical NLP project workflow these are the stages that are involved: Business understanding: In this step we try to address the question “What does the business need”. … nlp | Stemming Lemmatization Natural Language Processing Handson Guide Stemming Lemmatization Natural Language Processing Python implementation typical NLP project workflow stage involved Business understanding step try address question “What business need” … nlp |
10,082 | Vicuna on Your CPU & GPU: Best Free Chatbot According to GPT-4 | In this article I will show you how to run the Vicuna model on your local computer using either your GPU or just your CPU. At the moment this article contains only the commands used to install the Vicuna model. I will add more details soon. If you can’t wait… | https://medium.com/@martin-thissen/vicuna-on-your-cpu-gpu-best-free-chatbot-according-to-gpt-4-c24b322a193a?source=topics_v2---------92-84--------------------d6fbee4f_04db_44fa_898b_98d297973937-------17 | nlp | Vicuna on Your CPU & GPU: Best Free Chatbot According to GPT-4 In this article I will show you how to run the Vicuna model on your local computer using either your GPU or just your CPU. At the moment this article contains only the commands used to install the Vicuna model. I will add more details soon. If you can’t wait… nlp | Vicuna CPU GPU Best Free Chatbot According GPT4 article show run Vicuna model local computer using either GPU CPU moment article contains command used install Vicuna model add detail soon can’t wait… nlp |
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10,083 | Anomaly Detection in NLP Using Levenshtein Distance | The idea of anomalies has been around for centuries. Still, it wasn’t until the development of contemporary data science and statistical techniques that it was standardized as a strategy for finding out-of-the-ordinary patterns in data. … | https://medium.com/munchy-bytes/anomaly-detection-in-nlp-using-levenshtein-distance-62351639d189?source=topics_v2---------93-84--------------------d6fbee4f_04db_44fa_898b_98d297973937-------17 | https://miro.medium.com/v2/resize:fill:140:140/0*NQX7ITJtUo_1ZOqF | nlp | Anomaly Detection in NLP Using Levenshtein Distance The idea of anomalies has been around for centuries. Still, it wasn’t until the development of contemporary data science and statistical techniques that it was standardized as a strategy for finding out-of-the-ordinary patterns in data. … nlp | Anomaly Detection NLP Using Levenshtein Distance idea anomaly around century Still wasn’t development contemporary data science statistical technique standardized strategy finding outoftheordinary pattern data … nlp |
10,084 | Introduction to Deep Learning Part 2: RNNs and LTSM | Welcome to Part 2 of my Introduction to Deep Learning series. In the last article, we covered the perceptron, neural networks and how to train them. In this blog post, we will introduce different neural network architectures and more specifically Recurrent Neural Networks and LSTM Sequence modelling Neurons with recurrence … | https://medium.com/@koza.kurumlu/introduction-to-deep-learning-part-2-rnns-and-ltsm-fc65c230713d?source=topics_v2---------94-84--------------------d6fbee4f_04db_44fa_898b_98d297973937-------17 | nlp | Introduction to Deep Learning Part 2: RNNs and LTSM Welcome to Part 2 of my Introduction to Deep Learning series. In the last article, we covered the perceptron, neural networks and how to train them. In this blog post, we will introduce different neural network architectures and more specifically Recurrent Neural Networks and LSTM Sequence modelling Neurons with recurrence … nlp | Introduction Deep Learning Part 2 RNNs LTSM Welcome Part 2 Introduction Deep Learning series last article covered perceptron neural network train blog post introduce different neural network architecture specifically Recurrent Neural Networks LSTM Sequence modelling Neurons recurrence … nlp |
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10,085 | Data Science: Creating an Email Spam Filter by using Bag-of-words. | With an implementation in Rust. Join Medium with my referral link - applied.math.coding
Get access to all of my stories and to thousands more on Medium from other writers. As my strong believe is, Medium is…medium.com This story is part of my Data Science series. In our previous story (see here) we looked at the theory and computation of the multinomial distribution. Now, let us look at a typical application in which this distribution appears. | https://medium.com/@applied-math-coding/data-science-creating-an-email-spam-filter-by-using-bag-of-words-bfb42078e002?source=topics_v2---------95-84--------------------9cbb7b49_dc13_4c73_9b0e_20308a4c72bc-------17 | nlp | Data Science: Creating an Email Spam Filter by using Bag-of-words. With an implementation in Rust. Join Medium with my referral link - applied.math.coding
Get access to all of my stories and to thousands more on Medium from other writers. As my strong believe is, Medium is…medium.com This story is part of my Data Science series. In our previous story (see here) we looked at the theory and computation of the multinomial distribution. Now, let us look at a typical application in which this distribution appears. nlp | Data Science Creating Email Spam Filter using Bagofwords implementation Rust Join Medium referral link appliedmathcoding Get access story thousand Medium writer strong believe Medium is…mediumcom story part Data Science series previous story see looked theory computation multinomial distribution let u look typical application distribution appears nlp |
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10,086 | Demystifying AI: How Well Do You Really Know It? | Are you familiar with Artificial Intelligence? This concept has taken the tech industry and world by storm over the past few months and will continue growing exponentially. Contrary to its frequent use, though, it’s hard to pinpoint what artificial intelligence truly is. In discussions of AI technology, you often hear… | https://medium.com/@stevenjarellano/demystifying-ai-how-well-do-you-really-know-it-d5fc89236030?source=topics_v2---------96-84--------------------332caa7c_998c_42aa_92bc_b3e6c35e4434-------17 | nlp | Demystifying AI: How Well Do You Really Know It? Are you familiar with Artificial Intelligence? This concept has taken the tech industry and world by storm over the past few months and will continue growing exponentially. Contrary to its frequent use, though, it’s hard to pinpoint what artificial intelligence truly is. In discussions of AI technology, you often hear… nlp | Demystifying AI Well Really Know familiar Artificial Intelligence concept taken tech industry world storm past month continue growing exponentially Contrary frequent use though it’s hard pinpoint artificial intelligence truly discussion AI technology often hear… nlp |
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10,087 | Lyrical Lexicon — Part 3→ About LDA | At first, I didn’t plan to write about LDA, but since it comes up a lot in later posts, I wanted to give a quick summary. LDA, short for Latent Dirichlet Allocation, is a simple method used for finding topics in text documents. Its goal is to discover hidden themes… | https://medium.com/@jrkagumba/lyrical-lexicon-part-3-about-lda-782c86343950?source=topics_v2---------97-84--------------------332caa7c_998c_42aa_92bc_b3e6c35e4434-------17 | nlp | Lyrical Lexicon — Part 3→ About LDA At first, I didn’t plan to write about LDA, but since it comes up a lot in later posts, I wanted to give a quick summary. LDA, short for Latent Dirichlet Allocation, is a simple method used for finding topics in text documents. Its goal is to discover hidden themes… nlp | Lyrical Lexicon — Part 3→ LDA first didn’t plan write LDA since come lot later post wanted give quick summary LDA short Latent Dirichlet Allocation simple method used finding topic text document goal discover hidden themes… nlp |
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10,088 | Run ChatGPT on Your Laptop | Use GPT4All To Chat Without an Internet Connection — Have you ever wanted to chat with a large language model like ChatGPT, but without the hassle of using an online service or paying for cloud computing? … | https://medium.com/@johannscopeland/run-chatgpt-on-your-laptop-3d5f93ac0761?source=topics_v2---------98-84--------------------332caa7c_998c_42aa_92bc_b3e6c35e4434-------17 | nlp | Run ChatGPT on Your Laptop Use GPT4All To Chat Without an Internet Connection — Have you ever wanted to chat with a large language model like ChatGPT, but without the hassle of using an online service or paying for cloud computing? … nlp | Run ChatGPT Laptop Use GPT4All Chat Without Internet Connection — ever wanted chat large language model like ChatGPT without hassle using online service paying cloud computing … nlp |
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10,089 | An Introduction to ChatGPT: Part 2 -Unlocking the Potential of ChatGPT | ChatGPT is a powerful tool for conversational AI that can unlock the potential of chatbots and virtual assistants for real-world applications. In Part 1 of this series, we introduced ChatGPT and explained its basics. … | https://medium.com/@himanshu2561/an-introduction-to-chatgpt-part-2-unlocking-the-potential-of-chatgpt-d1ea880ae9ab?source=topics_v2---------99-84--------------------332caa7c_998c_42aa_92bc_b3e6c35e4434-------17 | https://miro.medium.com/v2/resize:fill:140:140/0*yhgtg2NyxCFWV8d_ | nlp | An Introduction to ChatGPT: Part 2 -Unlocking the Potential of ChatGPT ChatGPT is a powerful tool for conversational AI that can unlock the potential of chatbots and virtual assistants for real-world applications. In Part 1 of this series, we introduced ChatGPT and explained its basics. … nlp | Introduction ChatGPT Part 2 Unlocking Potential ChatGPT ChatGPT powerful tool conversational AI unlock potential chatbots virtual assistant realworld application Part 1 series introduced ChatGPT explained basic … nlp |
10,090 | Creating a Conversational AI Chatbot with Python: A Comprehensive Guide | In today’s fast-paced digital landscape, chatbots are revolutionizing customer support and engagement. As a Python enthusiast, I’ve always been fascinated by the potential of conversational AI. That’s why I want to share my insights and experience with you. … | https://medium.com/@saidul.islam/creating-a-conversational-ai-chatbot-with-python-a-comprehensive-guide-cc5efba032c7?source=topics_v2---------100-84--------------------332caa7c_998c_42aa_92bc_b3e6c35e4434-------17 | https://miro.medium.com/v2/resize:fill:140:140/0*47wY8q2g0rSVQEsZ | nlp | Creating a Conversational AI Chatbot with Python: A Comprehensive Guide In today’s fast-paced digital landscape, chatbots are revolutionizing customer support and engagement. As a Python enthusiast, I’ve always been fascinated by the potential of conversational AI. That’s why I want to share my insights and experience with you. … nlp | Creating Conversational AI Chatbot Python Comprehensive Guide today’s fastpaced digital landscape chatbots revolutionizing customer support engagement Python enthusiast I’ve always fascinated potential conversational AI That’s want share insight experience … nlp |
10,091 | Build Your Own Question Answering System with OpenAI and Flask | Today, modern businesses, governments, and communities have benefited from the impact of Artificial intelligence. Artificial Intelligence has shaped our world by making everything seamless and easy. Now we can enhance health and fitness at home, streamline logistics and supply chains, and create more personalized customer experiences using AI-powered technologies. … | https://medium.com/gitconnected/build-your-own-question-answering-system-with-openai-and-flask-2200507ac601?source=topics_v2---------101-84--------------------332caa7c_998c_42aa_92bc_b3e6c35e4434-------17 | nlp | Build Your Own Question Answering System with OpenAI and Flask Today, modern businesses, governments, and communities have benefited from the impact of Artificial intelligence. Artificial Intelligence has shaped our world by making everything seamless and easy. Now we can enhance health and fitness at home, streamline logistics and supply chains, and create more personalized customer experiences using AI-powered technologies. … nlp | Build Question Answering System OpenAI Flask Today modern business government community benefited impact Artificial intelligence Artificial Intelligence shaped world making everything seamless easy enhance health fitness home streamline logistics supply chain create personalized customer experience using AIpowered technology … nlp |
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10,092 | I built the PERFECT YouTube Intro using MrBeast's Data | A MrBeast Intro Case Study (Python/NLP/Excel/Tableau) Introduction "The thing that people undervalue the most are the first 10 seconds of a video". During this full interview with Colin and Samir Jimmy (aka MrBeast) goes on to explain on that his intros are short, concise and give the audience everything they need. … | https://medium.com/@konradschmitz/i-built-the-perfect-youtube-intro-using-mrbeast-data-6262d0be827f?source=topics_v2---------102-84--------------------332caa7c_998c_42aa_92bc_b3e6c35e4434-------17 | nlp | I built the PERFECT YouTube Intro using MrBeast's Data A MrBeast Intro Case Study (Python/NLP/Excel/Tableau) Introduction "The thing that people undervalue the most are the first 10 seconds of a video". During this full interview with Colin and Samir Jimmy (aka MrBeast) goes on to explain on that his intros are short, concise and give the audience everything they need. … nlp | built PERFECT YouTube Intro using MrBeasts Data MrBeast Intro Case Study PythonNLPExcelTableau Introduction thing people undervalue first 10 second video full interview Colin Samir Jimmy aka MrBeast go explain intro short concise give audience everything need … nlp |
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10,093 | OpenAI’s Approach to Ensuring AI Safety | In the wake of growing concerns about the use of GPT-4, OpenAI has expressed its stance on AI safety in a blog post, focusing on the development and implementation of secure AI systems. The post looks like a response to the recent call to pause AI experiments beyond GPT-4, signed… | https://medium.com/generative-ai/this-is-openais-approach-to-ensuring-ai-safety-228fb64098fb?source=topics_v2---------103-84--------------------332caa7c_998c_42aa_92bc_b3e6c35e4434-------17 | nlp | OpenAI’s Approach to Ensuring AI Safety In the wake of growing concerns about the use of GPT-4, OpenAI has expressed its stance on AI safety in a blog post, focusing on the development and implementation of secure AI systems. The post looks like a response to the recent call to pause AI experiments beyond GPT-4, signed… nlp | OpenAI’s Approach Ensuring AI Safety wake growing concern use GPT4 OpenAI expressed stance AI safety blog post focusing development implementation secure AI system post look like response recent call pause AI experiment beyond GPT4 signed… nlp |
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10,094 | How does chatGPT work? | Chat GPT is a natural language processing (NLP) tool that uses machine learning algorithms to generate text responses based on input text prompts. Chat GPT is a neural network trained on massive text data, including books, articles, and web pages. … | https://medium.com/@talal.atef.801/how-does-work-chatgpt-d50e926b26c4?source=topics_v2---------104-84--------------------332caa7c_998c_42aa_92bc_b3e6c35e4434-------17 | nlp | How does chatGPT work? Chat GPT is a natural language processing (NLP) tool that uses machine learning algorithms to generate text responses based on input text prompts. Chat GPT is a neural network trained on massive text data, including books, articles, and web pages. … nlp | chatGPT work Chat GPT natural language processing NLP tool us machine learning algorithm generate text response based input text prompt Chat GPT neural network trained massive text data including book article web page … nlp |
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10,095 | Using deep learning models in Python for intent classification in Chatbots | Hey there! Today, I want to talk about one of my favorite topics — Chatbots! In particular, I want to discuss how to use deep learning models in Python for intent classification in Chatbots. 🤖💬 As we all know, Chatbots have become increasingly popular in recent years. They are an… | https://medium.com/dev-genius/using-deep-learning-models-in-python-for-intent-classification-in-chatbots-705ee524749a?source=topics_v2---------105-84--------------------332caa7c_998c_42aa_92bc_b3e6c35e4434-------17 | https://miro.medium.com/v2/resize:fill:140:140/0*lMq0VL_N4bfX3-vE | nlp | Using deep learning models in Python for intent classification in Chatbots Hey there! Today, I want to talk about one of my favorite topics — Chatbots! In particular, I want to discuss how to use deep learning models in Python for intent classification in Chatbots. 🤖💬 As we all know, Chatbots have become increasingly popular in recent years. They are an… nlp | Using deep learning model Python intent classification Chatbots Hey Today want talk one favorite topic — Chatbots particular want discus use deep learning model Python intent classification Chatbots 🤖💬 know Chatbots become increasingly popular recent year an… nlp |
10,096 | How to Validate OpenAI GPT Model Performance with Text Summarization | Part 1 of a study on generative AI usage and testing — Regardless of your occupation or age, you’ve heard about OpenAI’s generative pre-trained transformer (GPT) technology on LinkedIn, YouTube, or in the news. These powerful artificial intelligence models/chatbots can seemingly handle any task, from creating poems to solving leetcode problems to coherently summarizing long articles of text. | https://medium.com/towards-data-science/how-to-validate-openai-gpt-model-performance-with-text-summarization-298978fea764?source=topics_v2---------106-84--------------------52c8bb2b_66da_46c9_ad9d_d9f0ae7c53e7-------17 | https://miro.medium.com/v2/resize:fill:140:140/0*wsCmUiavWMu5dwxp | nlp | How to Validate OpenAI GPT Model Performance with Text Summarization Part 1 of a study on generative AI usage and testing — Regardless of your occupation or age, you’ve heard about OpenAI’s generative pre-trained transformer (GPT) technology on LinkedIn, YouTube, or in the news. These powerful artificial intelligence models/chatbots can seemingly handle any task, from creating poems to solving leetcode problems to coherently summarizing long articles of text. nlp | Validate OpenAI GPT Model Performance Text Summarization Part 1 study generative AI usage testing — Regardless occupation age you’ve heard OpenAI’s generative pretrained transformer GPT technology LinkedIn YouTube news powerful artificial intelligence modelschatbots seemingly handle task creating poem solving leetcode problem coherently summarizing long article text nlp |
10,097 | GPT-4: Playing with Word Arithmetic | The field of Natural Language Processing (NLP) has seen significant advancements over the years, with language models like OpenAI’s GPT-4 exhibiting remarkable capabilities in understanding and generating human language. … | https://medium.com/@martinthoma/gpt-4-playing-with-word-arithmetic-db9316d2332d?source=topics_v2---------107-84--------------------52c8bb2b_66da_46c9_ad9d_d9f0ae7c53e7-------17 | nlp | GPT-4: Playing with Word Arithmetic The field of Natural Language Processing (NLP) has seen significant advancements over the years, with language models like OpenAI’s GPT-4 exhibiting remarkable capabilities in understanding and generating human language. … nlp | GPT4 Playing Word Arithmetic field Natural Language Processing NLP seen significant advancement year language model like OpenAI’s GPT4 exhibiting remarkable capability understanding generating human language … nlp |
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10,098 | Natural Language Processing: The Journey from Past to the Cutting Edge | Introduction As we covered last week, NLP is the singular reason we can communicate with AI like ChatGPT as we do now. Now, as promised, let’s dive into the deeper reasoning and design behind the magic. Natural Language Processing (NLP) is a subfield of artificial intelligence that focuses on enabling… | https://medium.com/@nclester033/natural-language-processing-the-journey-from-past-to-the-cutting-edge-e29c9afd4554?source=topics_v2---------108-84--------------------52c8bb2b_66da_46c9_ad9d_d9f0ae7c53e7-------17 | nlp | Natural Language Processing: The Journey from Past to the Cutting Edge Introduction As we covered last week, NLP is the singular reason we can communicate with AI like ChatGPT as we do now. Now, as promised, let’s dive into the deeper reasoning and design behind the magic. Natural Language Processing (NLP) is a subfield of artificial intelligence that focuses on enabling… nlp | Natural Language Processing Journey Past Cutting Edge Introduction covered last week NLP singular reason communicate AI like ChatGPT promised let’s dive deeper reasoning design behind magic Natural Language Processing NLP subfield artificial intelligence focus enabling… nlp |
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10,099 | Pied Piper AI Emo Compression | Emotion based Audio Compression Copyright © 2023 Mayukhmali Das Emotion based Audio Compression using Vosk and Hugging Face My code defines a function Piper_Compress that takes in a base audio file path, segment length, Vosk model path, and high/low bitrate values as inputs. def piper_compress(base_audio_path, segment_length, model_path,high_bitrate,low_bitrate): The function splits the audio file into… | https://medium.com/@mayukhmalidas322/pied-piper-ai-emo-compression-ad14fab56519?source=topics_v2---------109-84--------------------52c8bb2b_66da_46c9_ad9d_d9f0ae7c53e7-------17 | nlp | Pied Piper AI Emo Compression Emotion based Audio Compression Copyright © 2023 Mayukhmali Das Emotion based Audio Compression using Vosk and Hugging Face My code defines a function Piper_Compress that takes in a base audio file path, segment length, Vosk model path, and high/low bitrate values as inputs. def piper_compress(base_audio_path, segment_length, model_path,high_bitrate,low_bitrate): The function splits the audio file into… nlp | Pied Piper AI Emo Compression Emotion based Audio Compression Copyright © 2023 Mayukhmali Das Emotion based Audio Compression using Vosk Hugging Face code defines function PiperCompress take base audio file path segment length Vosk model path highlow bitrate value input def pipercompressbaseaudiopath segmentlength modelpathhighbitratelowbitrate function split audio file into… nlp |
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10,100 | Revving Up Your Car Purchasing Power: Predicting Car Prices with Machine Learning | For many people, purchasing a car is a huge financial choice, and figuring out what a car should really cost can be challenging. Machine learning, on the other hand, has made car price prediction considerably simpler and more precise. … | https://medium.com/@abhijeetas8660211/revving-up-your-car-purchasing-power-predicting-car-prices-with-machine-learning-52352bbe7392?source=topics_v2---------110-84--------------------52c8bb2b_66da_46c9_ad9d_d9f0ae7c53e7-------17 | nlp | Revving Up Your Car Purchasing Power: Predicting Car Prices with Machine Learning For many people, purchasing a car is a huge financial choice, and figuring out what a car should really cost can be challenging. Machine learning, on the other hand, has made car price prediction considerably simpler and more precise. … nlp | Revving Car Purchasing Power Predicting Car Prices Machine Learning many people purchasing car huge financial choice figuring car really cost challenging Machine learning hand made car price prediction considerably simpler precise … nlp |
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10,101 | Cosine Similarity for 1 Trillion Pairs of Vectors | Introducing ChunkDot — Success! I managed to find vector representations for my 1 million items… I just need to calculate the cosine similarity between all pairs to find the 20 most similar items per item. Then, from sklearn.metrics.pairwise import cosine_similarity, throw my 1 million vectorized items into it, and bam!
My computer explodes with… | https://medium.com/towards-artificial-intelligence/cosine-similarity-for-1-trillion-pairs-of-vectors-11f6a1ed6458?source=topics_v2---------111-84--------------------52c8bb2b_66da_46c9_ad9d_d9f0ae7c53e7-------17 | https://miro.medium.com/v2/resize:fill:140:140/0*C3Y4viM2YF9UQkYf | nlp | Cosine Similarity for 1 Trillion Pairs of Vectors Introducing ChunkDot — Success! I managed to find vector representations for my 1 million items… I just need to calculate the cosine similarity between all pairs to find the 20 most similar items per item. Then, from sklearn.metrics.pairwise import cosine_similarity, throw my 1 million vectorized items into it, and bam!
My computer explodes with… nlp | Cosine Similarity 1 Trillion Pairs Vectors Introducing ChunkDot — Success managed find vector representation 1 million items… need calculate cosine similarity pair find 20 similar item per item sklearnmetricspairwise import cosinesimilarity throw 1 million vectorized item bam computer explodes with… nlp |
10,102 | Machine Learning Chatbot Development with Python: A Practical Approach | Introduction As a Python programmer and AI enthusiast, I’ve always been fascinated by the power of chatbots and how they can revolutionize the way we communicate. Today, I want to share my journey in developing a machine learning chatbot using Python. This hands-on tutorial will guide you through the process, from… | https://medium.com/@saidul.islam/machine-learning-chatbot-development-with-python-a-practical-approach-df8c51474c55?source=topics_v2---------112-84--------------------52c8bb2b_66da_46c9_ad9d_d9f0ae7c53e7-------17 | https://miro.medium.com/v2/resize:fill:140:140/0*ipWCjFK6qr6JfV-A | nlp | Machine Learning Chatbot Development with Python: A Practical Approach Introduction As a Python programmer and AI enthusiast, I’ve always been fascinated by the power of chatbots and how they can revolutionize the way we communicate. Today, I want to share my journey in developing a machine learning chatbot using Python. This hands-on tutorial will guide you through the process, from… nlp | Machine Learning Chatbot Development Python Practical Approach Introduction Python programmer AI enthusiast I’ve always fascinated power chatbots revolutionize way communicate Today want share journey developing machine learning chatbot using Python handson tutorial guide process from… nlp |
10,103 | Whisper API Pricing and Use Cases | Whisper API Created by the company behind ChatGPT, Whisper is OpenAI’s general-purpose speech recognition model. Primarily, it’s used to convert spoken language into written text. API Endpoints: /transcriptions (transcribe from source language) curl --request POST \
--url https://api.openai.com/v1/audio/transcriptions \
--header 'Authorization: Bearer YOUR_OPENAI_API_KEY' \
--header 'Content-Type: multipart/form-data' \
--form file=@/path/to/file/openai.mp3 … | https://medium.com/sopmac-labs/whisper-api-pricing-and-use-cases-6b05ef655015?source=topics_v2---------113-84--------------------52c8bb2b_66da_46c9_ad9d_d9f0ae7c53e7-------17 | nlp | Whisper API Pricing and Use Cases Whisper API Created by the company behind ChatGPT, Whisper is OpenAI’s general-purpose speech recognition model. Primarily, it’s used to convert spoken language into written text. API Endpoints: /transcriptions (transcribe from source language) curl --request POST \
--url https://api.openai.com/v1/audio/transcriptions \
--header 'Authorization: Bearer YOUR_OPENAI_API_KEY' \
--header 'Content-Type: multipart/form-data' \
--form file=@/path/to/file/openai.mp3 … nlp | Whisper API Pricing Use Cases Whisper API Created company behind ChatGPT Whisper OpenAI’s generalpurpose speech recognition model Primarily it’s used convert spoken language written text API Endpoints transcription transcribe source language curl request POST url httpsapiopenaicomv1audiotranscriptions header Authorization Bearer YOUROPENAIAPIKEY header ContentType multipartformdata form filepathtofileopenaimp3 … nlp |
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10,104 | How to Detect Languages with Python: A Comprehensive Guide | How to automatically identify different languages using out of the box pretrained models with Spark NLP in Python. — TL; DR: Language detection is the process of automatically identifying the language of a given piece of text. It is an important task in Natural Language Processing (NLP), especially for multilingual applications where the language of a given text is not always known in advance. … | https://medium.com/john-snow-labs/how-to-detect-languages-with-python-a-comprehensive-guide-1dc3e3c071bd?source=topics_v2---------114-84--------------------52c8bb2b_66da_46c9_ad9d_d9f0ae7c53e7-------17 | https://miro.medium.com/v2/resize:fill:140:140/0*JEQOh7Le4N4Ek66h | nlp | How to Detect Languages with Python: A Comprehensive Guide How to automatically identify different languages using out of the box pretrained models with Spark NLP in Python. — TL; DR: Language detection is the process of automatically identifying the language of a given piece of text. It is an important task in Natural Language Processing (NLP), especially for multilingual applications where the language of a given text is not always known in advance. … nlp | Detect Languages Python Comprehensive Guide automatically identify different language using box pretrained model Spark NLP Python — TL DR Language detection process automatically identifying language given piece text important task Natural Language Processing NLP especially multilingual application language given text always known advance … nlp |
10,105 | The Impact of Quantum Computing on AI and Machine Learning: Predictions for 2023 and Beyond | Quantum computing has been a buzzword in the technology industry for years, but as the field continues to advance, its potential impact on artificial intelligence (AI) and machine learning (ML) is becoming increasingly clear. … | https://medium.com/@pelinokutan/the-impact-of-quantum-computing-on-ai-and-machine-learning-predictions-for-2023-and-beyond-2311686fd8ab?source=topics_v2---------115-84--------------------52c8bb2b_66da_46c9_ad9d_d9f0ae7c53e7-------17 | https://miro.medium.com/v2/resize:fill:140:140/0*dmjUbaRk34vd7YP_ | nlp | The Impact of Quantum Computing on AI and Machine Learning: Predictions for 2023 and Beyond Quantum computing has been a buzzword in the technology industry for years, but as the field continues to advance, its potential impact on artificial intelligence (AI) and machine learning (ML) is becoming increasingly clear. … nlp | Impact Quantum Computing AI Machine Learning Predictions 2023 Beyond Quantum computing buzzword technology industry year field continues advance potential impact artificial intelligence AI machine learning ML becoming increasingly clear … nlp |
10,106 | From Words to Tokens: Unlocking the Power of Words in Tokenization | A Hands-on Guide to Tokenization in Natural Language Processing with Python implementation In a typical NLP project workflow these are the stages that are involved: Business understanding: In this step we try to address the question “What does the business need”. … | https://medium.com/@venky.balaji1902/from-words-to-tokens-unlocking-the-power-of-words-in-tokenization-8f69501cbbaa?source=topics_v2---------116-84--------------------a3cb19eb_a31e_4753_b58e_b8fee72966b7-------17 | https://miro.medium.com/v2/resize:fill:140:140/0*1ZBl5gevVE-Kd2nB | nlp | From Words to Tokens: Unlocking the Power of Words in Tokenization A Hands-on Guide to Tokenization in Natural Language Processing with Python implementation In a typical NLP project workflow these are the stages that are involved: Business understanding: In this step we try to address the question “What does the business need”. … nlp | Words Tokens Unlocking Power Words Tokenization Handson Guide Tokenization Natural Language Processing Python implementation typical NLP project workflow stage involved Business understanding step try address question “What business need” … nlp |
10,107 | How to Integrate Ins8.ai into Your Speech System | Tutorial — Introduction The Ins8.ai Automated Hyperlocal Speech Recognition (AHSR) software comes with pre-built APIs for easy access and integration into speech application systems, without needing to replace existing audio recording infrastructure. For more details on REST and WebSocket APIs, refer to the Ins8.ai API Documentation. Specifications To ensure compatibility of the Ins8.ai software… | https://medium.com/@ins8.ai/how-to-integrate-ins8-ai-into-your-speech-system-4aa5172eca95?source=topics_v2---------117-84--------------------a3cb19eb_a31e_4753_b58e_b8fee72966b7-------17 | nlp | How to Integrate Ins8.ai into Your Speech System Tutorial — Introduction The Ins8.ai Automated Hyperlocal Speech Recognition (AHSR) software comes with pre-built APIs for easy access and integration into speech application systems, without needing to replace existing audio recording infrastructure. For more details on REST and WebSocket APIs, refer to the Ins8.ai API Documentation. Specifications To ensure compatibility of the Ins8.ai software… nlp | Integrate Ins8ai Speech System Tutorial — Introduction Ins8ai Automated Hyperlocal Speech Recognition AHSR software come prebuilt APIs easy access integration speech application system without needing replace existing audio recording infrastructure detail REST WebSocket APIs refer Ins8ai API Documentation Specifications ensure compatibility Ins8ai software… nlp |
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10,108 | 5 Major Evaluation Metrics for Clustering | Evaluation metrics for clustering are used to assess the quality and performance of clustering algorithms. Here are some commonly used evaluation metrics for clustering: Silhouette coefficient: This metric measures how well each data point fits into its assigned cluster and ranges from -1 to 1. A high silhouette coefficient indicates that the data points are well-clustered, while a low coefficient indicates that the data points may be assigned to the wrong cluster. I would… | https://medium.com/@SyedAbbasT/5-major-evaluation-metrics-for-clustering-74ea8b301e68?source=topics_v2---------118-84--------------------a3cb19eb_a31e_4753_b58e_b8fee72966b7-------17 | nlp | 5 Major Evaluation Metrics for Clustering Evaluation metrics for clustering are used to assess the quality and performance of clustering algorithms. Here are some commonly used evaluation metrics for clustering: Silhouette coefficient: This metric measures how well each data point fits into its assigned cluster and ranges from -1 to 1. A high silhouette coefficient indicates that the data points are well-clustered, while a low coefficient indicates that the data points may be assigned to the wrong cluster. I would… nlp | 5 Major Evaluation Metrics Clustering Evaluation metric clustering used ass quality performance clustering algorithm commonly used evaluation metric clustering Silhouette coefficient metric measure well data point fit assigned cluster range 1 1 high silhouette coefficient indicates data point wellclustered low coefficient indicates data point may assigned wrong cluster would… nlp |
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10,109 | Mastering Matrices: Why Row Operations Trump Column Operations for Efficient Matrix Manipulation | Steal the formula to top your Linear Algebra Classes — Introduction: Matrices are fundamental mathematical concepts in various fields, including engineering, physics, and computer science. To effectively manipulate matrices, one must have a firm grasp of the multiple techniques used to perform operations on them. One such method involves the manipulation of the rows and columns of matrices, which can be… | https://medium.com/@vp2005rawal/mastering-matrices-why-row-operations-trump-column-operations-for-efficient-matrix-manipulation-9090b92d2822?source=topics_v2---------119-84--------------------a3cb19eb_a31e_4753_b58e_b8fee72966b7-------17 | nlp | Mastering Matrices: Why Row Operations Trump Column Operations for Efficient Matrix Manipulation Steal the formula to top your Linear Algebra Classes — Introduction: Matrices are fundamental mathematical concepts in various fields, including engineering, physics, and computer science. To effectively manipulate matrices, one must have a firm grasp of the multiple techniques used to perform operations on them. One such method involves the manipulation of the rows and columns of matrices, which can be… nlp | Mastering Matrices Row Operations Trump Column Operations Efficient Matrix Manipulation Steal formula top Linear Algebra Classes — Introduction Matrices fundamental mathematical concept various field including engineering physic computer science effectively manipulate matrix one must firm grasp multiple technique used perform operation One method involves manipulation row column matrix be… nlp |
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10,110 | Introducing Nirnayaak: The AI behind Revolutionary Web Application Simplifying Legal Research | Are you tired of sifting through piles of legal documents and case files, trying to find the information you need? Do you feel like you need a degree in law just to understand the jargon and legalese? Well, fret not, my friend! Nirnayaak is here to save the day! But… | https://medium.com/@soumyajitdatta123/introducing-nirnayaak-the-ai-behind-revolutionary-web-application-simplifying-legal-research-a9f0d3ad88a9?source=topics_v2---------120-84--------------------a3cb19eb_a31e_4753_b58e_b8fee72966b7-------17 | nlp | Introducing Nirnayaak: The AI behind Revolutionary Web Application Simplifying Legal Research Are you tired of sifting through piles of legal documents and case files, trying to find the information you need? Do you feel like you need a degree in law just to understand the jargon and legalese? Well, fret not, my friend! Nirnayaak is here to save the day! But… nlp | Introducing Nirnayaak AI behind Revolutionary Web Application Simplifying Legal Research tired sifting pile legal document case file trying find information need feel like need degree law understand jargon legalese Well fret friend Nirnayaak save day But… nlp |
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10,111 | Word embeddings: Helping computers understand language semantics | By Pushpam Punjabi Humans have a very intuitive way to work with languages. Tasks such as understanding similar texts, translating a text, completing a text, and summarizing a text come very naturally to humans with the inherent understanding of the language semantics. But when it comes to computers, passing on… | https://medium.com/@igniobydigitate/word-embeddings-helping-computers-understand-language-semantics-dd3456b1f700?source=topics_v2---------121-84--------------------a3cb19eb_a31e_4753_b58e_b8fee72966b7-------17 | nlp | Word embeddings: Helping computers understand language semantics By Pushpam Punjabi Humans have a very intuitive way to work with languages. Tasks such as understanding similar texts, translating a text, completing a text, and summarizing a text come very naturally to humans with the inherent understanding of the language semantics. But when it comes to computers, passing on… nlp | Word embeddings Helping computer understand language semantics Pushpam Punjabi Humans intuitive way work language Tasks understanding similar text translating text completing text summarizing text come naturally human inherent understanding language semantics come computer passing on… nlp |
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10,112 | Lyrical Lexicon — Part 2→ Feature Generation and EDA | Welcome back to my blog series on building a machine learning model for topic clustering and classification! In the previous post, we introduced the project and gave a brief overview of the dataset and the methods we’ll be exploring. … | https://medium.com/@jrkagumba/lyrical-lexicon-part-2-feature-generation-and-eda-a946ecda6162?source=topics_v2---------122-84--------------------a3cb19eb_a31e_4753_b58e_b8fee72966b7-------17 | nlp | Lyrical Lexicon — Part 2→ Feature Generation and EDA Welcome back to my blog series on building a machine learning model for topic clustering and classification! In the previous post, we introduced the project and gave a brief overview of the dataset and the methods we’ll be exploring. … nlp | Lyrical Lexicon — Part 2→ Feature Generation EDA Welcome back blog series building machine learning model topic clustering classification previous post introduced project gave brief overview dataset method we’ll exploring … nlp |
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10,113 | Beyond LLMs: How to Achieve More with Less Data and Compute | Large language models (LLMs) have been dominating the field of natural language processing (NLP) for the past few years. They are trained on massive amounts of text data and can generate fluent and coherent texts on various topics and domains. However, LLMs also have some major drawbacks that limit their… | https://medium.com/@nirmalkumar07781/beyond-llms-how-to-achieve-more-with-less-data-and-compute-5ce1d260bdb7?source=topics_v2---------123-84--------------------a3cb19eb_a31e_4753_b58e_b8fee72966b7-------17 | nlp | Beyond LLMs: How to Achieve More with Less Data and Compute Large language models (LLMs) have been dominating the field of natural language processing (NLP) for the past few years. They are trained on massive amounts of text data and can generate fluent and coherent texts on various topics and domains. However, LLMs also have some major drawbacks that limit their… nlp | Beyond LLMs Achieve Less Data Compute Large language model LLMs dominating field natural language processing NLP past year trained massive amount text data generate fluent coherent text various topic domain However LLMs also major drawback limit their… nlp |
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10,114 | How to Spin Up an ASR Webapp in 5 Mins | Create your own webapp and start transcribing! — Introduction This tutorial provides a step-by-step guide on how to create an ASR webapp — well under 5 mins! Using a provided Ins8.ai’s sample code as a skeleton, you can continue building on a ReactJS sample User Interface while testing out Ins8.ai’s ASR capabilities. If you already have a webapp at… | https://medium.com/@ins8.ai/how-to-spin-up-an-asr-webapp-in-5-mins-94edf4275c25?source=topics_v2---------124-84--------------------a3cb19eb_a31e_4753_b58e_b8fee72966b7-------17 | nlp | How to Spin Up an ASR Webapp in 5 Mins Create your own webapp and start transcribing! — Introduction This tutorial provides a step-by-step guide on how to create an ASR webapp — well under 5 mins! Using a provided Ins8.ai’s sample code as a skeleton, you can continue building on a ReactJS sample User Interface while testing out Ins8.ai’s ASR capabilities. If you already have a webapp at… nlp | Spin ASR Webapp 5 Mins Create webapp start transcribing — Introduction tutorial provides stepbystep guide create ASR webapp — well 5 min Using provided Ins8ai’s sample code skeleton continue building ReactJS sample User Interface testing Ins8ai’s ASR capability already webapp at… nlp |
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10,115 | NLP: Preprocessing text data (Part 1) | Introduction Text is everywhere and it can give us many insights about a company, product and service. However, extracting such insights is not an easy task. Text data is an unstructured data and, as the name suggest, we have to process it to a more “structured” form to be able to… | https://medium.com/@kazumatsuda/nlp-preprocessing-text-data-part-1-b4641af2a5af?source=topics_v2---------125-84--------------------a3cb19eb_a31e_4753_b58e_b8fee72966b7-------17 | https://miro.medium.com/v2/resize:fill:140:140/0*IjHv84tt0hgcnDU2 | nlp | NLP: Preprocessing text data (Part 1) Introduction Text is everywhere and it can give us many insights about a company, product and service. However, extracting such insights is not an easy task. Text data is an unstructured data and, as the name suggest, we have to process it to a more “structured” form to be able to… nlp | NLP Preprocessing text data Part 1 Introduction Text everywhere give u many insight company product service However extracting insight easy task Text data unstructured data name suggest process “structured” form able to… nlp |
10,116 | ChatGPT-3 Interviews ChatGPT-4 | Ladies and gentlemen, prepare for a ground-breaking, never-before-seen event! Today, we are thrilled to bring you an exclusive, electrifying interview that is sure to make waves in the world of artificial intelligence. For the first time ever, we’re pulling back the curtain and giving you a front-row seat to witness… | https://medium.com/@johnwilliams_54181/clash-of-the-ai-titans-exclusive-inside-look-at-chatgpt3-interviewing-chatgpt4-on-medium-2060b7e22012?source=topics_v2---------126-84--------------------e06d834f_36fd_4bee_bd5f_e1c15feab469-------17 | nlp | ChatGPT-3 Interviews ChatGPT-4 Ladies and gentlemen, prepare for a ground-breaking, never-before-seen event! Today, we are thrilled to bring you an exclusive, electrifying interview that is sure to make waves in the world of artificial intelligence. For the first time ever, we’re pulling back the curtain and giving you a front-row seat to witness… nlp | ChatGPT3 Interviews ChatGPT4 Ladies gentleman prepare groundbreaking neverbeforeseen event Today thrilled bring exclusive electrifying interview sure make wave world artificial intelligence first time ever we’re pulling back curtain giving frontrow seat witness… nlp |
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10,117 | Creating a Custom Vocabulary for NLP tasks Using exBERT and spaCY | Editor’s note: Swagata Ashwani is a speaker for ODSC East 2023. Be sure to check out her talk, “Creating a Custom Vocabulary for NLP tasks using exBERT and spaCY,” there! Natural Language Processing (NLP) tasks involve analyzing, understanding, and generating human language. However, the first step in any NLP task… | https://medium.com/@odsc/creating-a-custom-vocabulary-for-nlp-tasks-using-exbert-and-spacy-f4a06a158743?source=topics_v2---------127-84--------------------e06d834f_36fd_4bee_bd5f_e1c15feab469-------17 | nlp | Creating a Custom Vocabulary for NLP tasks Using exBERT and spaCY Editor’s note: Swagata Ashwani is a speaker for ODSC East 2023. Be sure to check out her talk, “Creating a Custom Vocabulary for NLP tasks using exBERT and spaCY,” there! Natural Language Processing (NLP) tasks involve analyzing, understanding, and generating human language. However, the first step in any NLP task… nlp | Creating Custom Vocabulary NLP task Using exBERT spaCY Editor’s note Swagata Ashwani speaker ODSC East 2023 sure check talk “Creating Custom Vocabulary NLP task using exBERT spaCY” Natural Language Processing NLP task involve analyzing understanding generating human language However first step NLP task… nlp |
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10,118 | Prompt engineering with Anthropic API | Anthropic API offers early-access to cutting-edge Large Language Models (LLMs) by the highly-cited AI research team. Introduction Anthropic researchers have shaped the recent progress in AI research including: Scaling laws¹, GPT-3², CLIP³ and the RLHF⁴ and RLAIF⁵. The recent paper on AI safety⁶ is a must read. … | https://medium.com/@tmmtt/prompt-engineering-with-anthropic-api-361852b30eac?source=topics_v2---------128-84--------------------e06d834f_36fd_4bee_bd5f_e1c15feab469-------17 | https://miro.medium.com/v2/resize:fill:140:140/0*4lfkbELIMdwl1k1U | nlp | Prompt engineering with Anthropic API Anthropic API offers early-access to cutting-edge Large Language Models (LLMs) by the highly-cited AI research team. Introduction Anthropic researchers have shaped the recent progress in AI research including: Scaling laws¹, GPT-3², CLIP³ and the RLHF⁴ and RLAIF⁵. The recent paper on AI safety⁶ is a must read. … nlp | Prompt engineering Anthropic API Anthropic API offer earlyaccess cuttingedge Large Language Models LLMs highlycited AI research team Introduction Anthropic researcher shaped recent progress AI research including Scaling laws¹ GPT3² CLIP³ RLHF⁴ RLAIF⁵ recent paper AI safety⁶ must read … nlp |
10,119 | Creating a Knowledge Graph From Video Transcripts With ChatGPT | Use GPT-4 as a domain expert to help you extract knowledge from a video transcript. — A couple of days ago, I got access to GPT-4. The first thing that came to my mind was to test how well it performs as an information extraction model, where the task is to extract relevant entities and relationships from a given text. I have… | https://medium.com/neo4j/creating-a-knowledge-graph-from-video-transcripts-with-gpt-4-52d7c7b9f32c?source=topics_v2---------129-84--------------------e06d834f_36fd_4bee_bd5f_e1c15feab469-------17 | nlp | Creating a Knowledge Graph From Video Transcripts With ChatGPT Use GPT-4 as a domain expert to help you extract knowledge from a video transcript. — A couple of days ago, I got access to GPT-4. The first thing that came to my mind was to test how well it performs as an information extraction model, where the task is to extract relevant entities and relationships from a given text. I have… nlp | Creating Knowledge Graph Video Transcripts ChatGPT Use GPT4 domain expert help extract knowledge video transcript — couple day ago got access GPT4 first thing came mind test well performs information extraction model task extract relevant entity relationship given text have… nlp |
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10,120 | Practical Considerations for Real-World NLP | Applying machine learning to natural language is a uniquely challenging task. If computer vision can be thought of as opening a window onto the physical world, the field of Natural Language Processing (NLP) opens a window onto a speaker’s mind. … | https://medium.com/@stronganalytics/practical-considerations-for-real-world-nlp-1ea38c842392?source=topics_v2---------130-84--------------------e06d834f_36fd_4bee_bd5f_e1c15feab469-------17 | nlp | Practical Considerations for Real-World NLP Applying machine learning to natural language is a uniquely challenging task. If computer vision can be thought of as opening a window onto the physical world, the field of Natural Language Processing (NLP) opens a window onto a speaker’s mind. … nlp | Practical Considerations RealWorld NLP Applying machine learning natural language uniquely challenging task computer vision thought opening window onto physical world field Natural Language Processing NLP open window onto speaker’s mind … nlp |
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10,121 | Prompt Engineering Best Practices | Fine-tuning GPT type model takes data in a particular format. A number of prompt formats that are proven to have worked reliably well are listed below. 1. Input instructions at the beginning of the prompt and use separators like ### or “”” between the instruction and context Less effective ❌: Summarize the text below.
{text input here} Less effective ✅: Summarize the text below.
Text: """
{text input here}
""" | https://medium.com/@rajat.ghosh11/prompt-engineering-best-practices-fb182ab000d7?source=topics_v2---------131-84--------------------e06d834f_36fd_4bee_bd5f_e1c15feab469-------17 | nlp | Prompt Engineering Best Practices Fine-tuning GPT type model takes data in a particular format. A number of prompt formats that are proven to have worked reliably well are listed below. 1. Input instructions at the beginning of the prompt and use separators like ### or “”” between the instruction and context Less effective ❌: Summarize the text below.
{text input here} Less effective ✅: Summarize the text below.
Text: """
{text input here}
""" nlp | Prompt Engineering Best Practices Finetuning GPT type model take data particular format number prompt format proven worked reliably well listed 1 Input instruction beginning prompt use separator like “”” instruction context Less effective ❌ Summarize text text input Less effective ✅ Summarize text Text text input nlp |
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10,122 | From Rulesets to Transformers: A Journey Through the Evolution of SOTA in NLP | Charting the evolution of SOTA (State-of-the-art) techniques in NLP (Natural Language Processing) over the years, highlighting the key algorithms, influential figures, and groundbreaking papers that have shaped the field. To understand the full impact of the above evolutionary process. We must first understand an essential terminology, SOTA (State-of-the-art). SOTA (state-of-the-art)… | https://medium.com/mlearning-ai/from-rulesets-to-transformers-a-journey-through-the-evolution-of-sota-in-nlp-43033d8422c5?source=topics_v2---------132-84--------------------e06d834f_36fd_4bee_bd5f_e1c15feab469-------17 | nlp | From Rulesets to Transformers: A Journey Through the Evolution of SOTA in NLP Charting the evolution of SOTA (State-of-the-art) techniques in NLP (Natural Language Processing) over the years, highlighting the key algorithms, influential figures, and groundbreaking papers that have shaped the field. To understand the full impact of the above evolutionary process. We must first understand an essential terminology, SOTA (State-of-the-art). SOTA (state-of-the-art)… nlp | Rulesets Transformers Journey Evolution SOTA NLP Charting evolution SOTA Stateoftheart technique NLP Natural Language Processing year highlighting key algorithm influential figure groundbreaking paper shaped field understand full impact evolutionary process must first understand essential terminology SOTA Stateoftheart SOTA stateoftheart… nlp |
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10,123 | Algorithm adjustment is the process of modifying the algorithms used by a machine learning model to… | Algorithm adjustment: Algorithm adjustment is the process of modifying the algorithms used by a machine learning model to improve its performance. … | https://medium.com/@kumargaurav2511/algorithm-adjustment-is-the-process-of-modifying-the-algorithms-used-by-a-machine-learning-model-to-bacc32e9267e?source=topics_v2---------133-84--------------------e06d834f_36fd_4bee_bd5f_e1c15feab469-------17 | nlp | Algorithm adjustment is the process of modifying the algorithms used by a machine learning model to… Algorithm adjustment: Algorithm adjustment is the process of modifying the algorithms used by a machine learning model to improve its performance. … nlp | Algorithm adjustment process modifying algorithm used machine learning model to… Algorithm adjustment Algorithm adjustment process modifying algorithm used machine learning model improve performance … nlp |
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10,124 | Interviewing ChatGPT: Everything you need to know about Prompt Engineering | Interviewing ChatGPT is an article series where we delve into various technical domains by conversing with ChatGPT. With its knowledge base and natural language processing capabilities, ChatGPT can provide insights and answers to various technical questions. Interviewing ChatGPT: What about Data Engineering?
Interviewing ChatGPT is an article series where we delve into various technical domains by having conversations with…medium.com | https://medium.com/munchy-bytes/interviewing-chatgpt-everything-you-need-to-know-about-prompt-engineering-4cc8ae6b5d2a?source=topics_v2---------134-84--------------------e06d834f_36fd_4bee_bd5f_e1c15feab469-------17 | https://miro.medium.com/v2/resize:fill:140:140/0*zMr46ovKFMmLKaTp | nlp | Interviewing ChatGPT: Everything you need to know about Prompt Engineering Interviewing ChatGPT is an article series where we delve into various technical domains by conversing with ChatGPT. With its knowledge base and natural language processing capabilities, ChatGPT can provide insights and answers to various technical questions. Interviewing ChatGPT: What about Data Engineering?
Interviewing ChatGPT is an article series where we delve into various technical domains by having conversations with…medium.com nlp | Interviewing ChatGPT Everything need know Prompt Engineering Interviewing ChatGPT article series delve various technical domain conversing ChatGPT knowledge base natural language processing capability ChatGPT provide insight answer various technical question Interviewing ChatGPT Data Engineering Interviewing ChatGPT article series delve various technical domain conversation with…mediumcom nlp |
10,125 | Unlock the True Potential of your Prompts | A Beginner Friendly “no code” Guide to fundamentals of Prompt Engineering This is the first in the “no code” prompt engineering blog series. In this journey we will explore:- The fundamentals of Prompt Engineering (Focus of this Blog) How to design effective Prompts Some common strategies for optimizing Prompt Engineering … | https://medium.com/@venky.balaji1902/unlock-the-true-potential-of-your-prompts-e9aefc51f3c7?source=topics_v2---------135-84--------------------2b593765_2723_4868_985a_f776aa8e076b-------17 | nlp | Unlock the True Potential of your Prompts A Beginner Friendly “no code” Guide to fundamentals of Prompt Engineering This is the first in the “no code” prompt engineering blog series. In this journey we will explore:- The fundamentals of Prompt Engineering (Focus of this Blog) How to design effective Prompts Some common strategies for optimizing Prompt Engineering … nlp | Unlock True Potential Prompts Beginner Friendly “no code” Guide fundamental Prompt Engineering first “no code” prompt engineering blog series journey explore fundamental Prompt Engineering Focus Blog design effective Prompts common strategy optimizing Prompt Engineering … nlp |
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10,126 | Lyrical Lexicon — Part 1 → Intro | Lately, I’ve been captivated by the art of storytelling and its powerful influence on how we absorb information. As a curious explorer of various technologies, my fascination with natural language processing (NLP) has grown exponentially, especially after my blog post on transformers. … | https://medium.com/@jrkagumba/lyrical-lexicon-part-1-intro-f59a3895b8c?source=topics_v2---------136-84--------------------2b593765_2723_4868_985a_f776aa8e076b-------17 | nlp | Lyrical Lexicon — Part 1 → Intro Lately, I’ve been captivated by the art of storytelling and its powerful influence on how we absorb information. As a curious explorer of various technologies, my fascination with natural language processing (NLP) has grown exponentially, especially after my blog post on transformers. … nlp | Lyrical Lexicon — Part 1 → Intro Lately I’ve captivated art storytelling powerful influence absorb information curious explorer various technology fascination natural language processing NLP grown exponentially especially blog post transformer … nlp |