XLSCOUT Unveils ParaEmbed 2.0: a Powerful Embedding Model Tailored for Patents and IP with Expert Support from Hugging Face
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Andrew Reed
andrewrreed
AI & ML interests
Applied ML, Practical AI, Inference & Deployment, LLMs, Multi-modal Models, RAG
Recent Activity
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a collection
21 minutes ago
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multimodalart/logo-in-context
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about 1 hour ago
enzostvs/Logo.Ai
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Post
2437
🔬 Open LLM Progress Tracker 🔬
Inspired by the awesome work from @mlabonne , I created a Space to monitor the narrowing gap between open and proprietary LLMs as scored by the LMSYS Chatbot Arena ELO ratings 🤗
The goal is to have a continuously updated place to easily visualize these rapidly evolving industry trends 🚀
🔗 Open LLM Progress Tracker: andrewrreed/closed-vs-open-arena-elo
🔗 Source of Inspiration: https://www.linkedin.com/posts/maxime-labonne_arena-elo-graph-updated-with-new-models-activity-7187062633735368705-u2jB/
Inspired by the awesome work from @mlabonne , I created a Space to monitor the narrowing gap between open and proprietary LLMs as scored by the LMSYS Chatbot Arena ELO ratings 🤗
The goal is to have a continuously updated place to easily visualize these rapidly evolving industry trends 🚀
🔗 Open LLM Progress Tracker: andrewrreed/closed-vs-open-arena-elo
🔗 Source of Inspiration: https://www.linkedin.com/posts/maxime-labonne_arena-elo-graph-updated-with-new-models-activity-7187062633735368705-u2jB/
Post
2311
IMO, the "grounded generation" feature from Cohere's CommandR+ has flown under the radar...
For RAG use cases, responses directly include inline citations, making source attribution an inherent part of generation rather than an afterthought 😎
Who's working on an open dataset with this for the HF community to fine-tune with??
🔗CommandR+ Docs: https://docs.cohere.com/docs/retrieval-augmented-generation-rag
🔗Model on the 🤗 Hub: CohereForAI/c4ai-command-r-plus
For RAG use cases, responses directly include inline citations, making source attribution an inherent part of generation rather than an afterthought 😎
Who's working on an open dataset with this for the HF community to fine-tune with??
🔗CommandR+ Docs: https://docs.cohere.com/docs/retrieval-augmented-generation-rag
🔗Model on the 🤗 Hub: CohereForAI/c4ai-command-r-plus
Collections
6
Curated resources that support the use of LLMs to serve as automatic evaluators of other LLM outputs.
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JudgeLM: Fine-tuned Large Language Models are Scalable Judges
Paper • 2310.17631 • Published • 33 -
Prometheus: Inducing Fine-grained Evaluation Capability in Language Models
Paper • 2310.08491 • Published • 53 -
Generative Judge for Evaluating Alignment
Paper • 2310.05470 • Published • 1 -
Calibrating LLM-Based Evaluator
Paper • 2309.13308 • Published • 11
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vectara/hallucination_evaluation_model
Text Classification • Updated • 291k • 228 -
notrichardren/HaluEval
Viewer • Updated • 35k • 102 -
TRUE: Re-evaluating Factual Consistency Evaluation
Paper • 2204.04991 • Published • 1 -
Fine-grained Hallucination Detection and Editing for Language Models
Paper • 2401.06855 • Published • 3
spaces
2
models
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andrewrreed/Mixtral-8x7B-Instruct-v0.1-neuron-bs1-sl8k
Text Generation
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andrewrreed/gector-deberta-large-5k
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andrewrreed/Llama-2-13B-chat-GPTQ
Text Generation
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Updated
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andrewrreed/evo-1-131k-base
Text Generation
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Updated
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andrewrreed/test-mlops-tagging
Updated
andrewrreed/span-marker-roberta-base-person-names-augmented
Token Classification
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andrewrreed/test
Updated
andrewrreed/flan-t5-large-financial-phrasebank-lora
Text2Text Generation
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andrewrreed/llama2-7b-test-config
Text Generation
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Updated
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andrewrreed/falcon-7b-guanaco-qlora-arr
Updated