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reacted to luigi12345's post with πŸ‘€ about 2 hours ago
# Essential AutoGen Examples: Code Writing, File Operations & Agent Tools 1. **Code Writing with Function Calls & File Operations** - [Documentation](https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_function_call_code_writing/) - [Notebook](https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_function_call_code_writing.ipynb) - *Key Tools Shown*: - `list_files()` - Directory listing - `read_file(filename)` - File reading - `edit_file(file, start_line, end_line, new_code)` - Precise code editing - Code validation and syntax checking - File backup and restore 2. **Auto Feedback from Code Execution** - [Documentation](https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_auto_feedback_from_code_execution/) - [Notebook](https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_auto_feedback_from_code_execution.ipynb) - *Key Tools Shown*: - `execute_code(code)` with output capture - Error analysis and auto-correction - Test case generation - Iterative debugging loop 3. **Async Operations & Parallel Execution** - [Documentation](https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_function_call_async/) - [Notebook](https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_function_call_async.ipynb) - *Key Tools Shown*: - Async function registration - Parallel agent operations - Non-blocking file operations - Task coordination 4. **LangChain Integration & Advanced Tools** - [Colab](https://colab.research.google.com/github/sugarforever/LangChain-Advanced/blob/main/Integrations/AutoGen/autogen_langchain_uniswap_ai_agent.ipynb) - *Key Tools Shown*: - Vector store integration - Document QA chains - Multi-agent coordination - Custom tool creation Most relevant for file operations and code editing is Example #1, which demonstrates the core techniques used in autogenie.py for file manipulation and code editing using line numbers and replacement.
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reacted to luigi12345's post with πŸ‘€ about 2 hours ago
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# Essential AutoGen Examples: Code Writing, File Operations & Agent Tools

1. **Code Writing with Function Calls & File Operations**
- [Documentation](https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_function_call_code_writing/)
- [Notebook](https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_function_call_code_writing.ipynb)
- *Key Tools Shown*:
- list_files() - Directory listing
- read_file(filename) - File reading
- edit_file(file, start_line, end_line, new_code) - Precise code editing
- Code validation and syntax checking
- File backup and restore

2. **Auto Feedback from Code Execution**
- [Documentation](https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_auto_feedback_from_code_execution/)
- [Notebook](https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_auto_feedback_from_code_execution.ipynb)
- *Key Tools Shown*:
- execute_code(code) with output capture
- Error analysis and auto-correction
- Test case generation
- Iterative debugging loop

3. **Async Operations & Parallel Execution**
- [Documentation](https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_function_call_async/)
- [Notebook](https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_function_call_async.ipynb)
- *Key Tools Shown*:
- Async function registration
- Parallel agent operations
- Non-blocking file operations
- Task coordination

4. **LangChain Integration & Advanced Tools**
- [Colab](https://colab.research.google.com/github/sugarforever/LangChain-Advanced/blob/main/Integrations/AutoGen/autogen_langchain_uniswap_ai_agent.ipynb)
- *Key Tools Shown*:
- Vector store integration
- Document QA chains
- Multi-agent coordination
- Custom tool creation

Most relevant for file operations and code editing is Example #1, which demonstrates the core techniques used in autogenie.py for file manipulation and code editing using line numbers and replacement.
reacted to davanstrien's post with πŸ‘€ about 2 hours ago
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🌍 Big step for multilingual AI data!

The Hugging Face community has rated educational content in languages spoken by 1.6 billion people! New additions:
β€’ Japanese
β€’ Italian
β€’ Old High German

Learn more and contribute: https://huggingface.co/blog/davanstrien/fineweb2-community

These ratings can help enhance training data for major world languages.
upvoted an article about 2 hours ago
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Article

FineWeb2-C: Help Build Better Language Models in Your Language

By davanstrien β€’
β€’ 15
reacted to mmaguero's post with πŸ‘€ about 2 hours ago
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πŸš€ Multidimensional Affective Analysis for Guarani/Jopara! 🌎

This project explored affective computing for low-resource languages, focusing on emotion recognition, humor detection, and offensive language identification in Guarani and Jopara (a code-switching mix of Guarani and Spanish).

Highlights:
🧡 Corpora:
- Emotion Recognition
- Humor Detection
- Offensive Language Identification
πŸ’» Base Models for Fine-Tuning (trained on Guarani Wiki):
- From scratch: BERT-based tiny, small, base and large models
- Continuously pre-trained models: Multilingual-BERT and BETO
πŸ““ Baseline Notebooks:
- Fine-tuning BERT-based models
- NCRF++ models via GitHub

πŸ’‘ Check the repo!
https://github.com/mmaguero/guarani-multi-affective-analysis

πŸ“– Check out the publication here:
- https://digibug.ugr.es/handle/10481/98843
- https://link.springer.com/article/10.1007/s12559-023-10165-0

#NLP #AffectiveComputing #LowResourceLanguages #Guarani #Jopara #SentimentAnalysis #AIForAll
reacted to singhsidhukuldeep's post with πŸš€ about 2 hours ago
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While everyone is buzzing about DeepSeek AI R1's groundbreaking open-source release, ByteDance has quietly launched something remarkable - Trae, an adaptive AI IDE that's redefining the development experience and unlike competitors like Cursor, it' completely FREE!

Trae is a sophisticated development environment built on Microsoft's VSCode foundation(with a nice skin on top), offering unlimited free access to both OpenAI's GPT-4o and Anthropic's Claude-3.5-Sonnet models.

Technical Highlights:
- Real-time AI pair programming with comprehensive codebase understanding
- Natural language commands for code generation and project-level development
- Intelligent task decomposition for automated planning and execution
- Seamless VS Code and Cursor configuration compatibility
- Multi-language support with specialized optimization for English and Chinese interfaces

Currently available for macOS (Windows version in development), Trae is distributed through ByteDance's Singapore subsidiary, Spring (SG) Pte. What sets it apart is its ability to handle mixed-language workflows and enhanced localization features that address common pain points in existing IDEs.

The AI assistant can generate code snippets, optimize logic, and even create entire projects from scratch through natural language prompts. It also features an innovative AI Chat system accessible via keyboard shortcuts for real-time coding assistance.

For developers looking to enhance their productivity without breaking the bank, Trae offers enterprise-grade AI capabilities completely free during its initial release. This move by ByteDance signals a significant shift in the AI IDE landscape, challenging established players with a robust, accessible alternative.

Try it at trae.ai
reacted to burtenshaw's post with πŸš€ about 6 hours ago
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Manic few days in open source AI, with game changing development all over the place. Here's a round up of the resources:

- The science team at @huggingface reproduced and open source the seek r1. https://github.com/huggingface/open-r1
- @qwen released a series of models with 1 million token context! https://qwenlm.github.io/blog/qwen2.5-1m/
- SmolVLM got even smaller with completely new variants at 256m and 500m https://huggingface.co/blog/smolervlm

There's so much you could do with these developments. Especially combining them together into agentic applications or fine-tuning them on your use case.
reacted to AdinaY's post with πŸš€ about 6 hours ago
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πŸ”₯So many exciting releases coming from the Chinese community this month!
zh-ai-community/2025-january-6786b054f492fb223591269e

LLMs:
✨ Qwen2.5 -1M by Alibaba
Qwen/qwen25-1m-679325716327ec07860530ba
✨ InternLM3-8B-Instruct by Shanghai AI Lab
internlm/internlm3-8b-instruct
✨ MiniMax-Text-01 by MiniMax AI
MiniMaxAI/MiniMax-Text-01
✨ RWKV-7 by BlinkDL -- RNN + Transformer πŸ‘€
BlinkDL/rwkv-7-world
✨ DeepSeek-R1 by DeepSeek -- THE ONE πŸ™Œ
https://huggingface.co/deepseek-ai
✨ Baichuan-M1-14B by Baichuan - Medical 🩺
baichuan-inc/Baichuan-M1-14B-Base
✨ Qwen2.5-Math-PRM by Alibaba - Math πŸ”’
Qwen/Qwen2.5-Math-PRM-7B

Code:
✨ Tare by Bytedance
https://trae.ai

TTS:
✨ T2A-01-HD by MiniMax AI
https://hailuo.ai/audio
✨ LLaSA by HKUST Audio
HKUSTAudio/Llasa-3B

MLLM:
✨ Kimi k1.5 by Moonshot AI
https://kimi.ai
✨ MiniCPM-o-2_6 by OpenBMB
openbmb/MiniCPM-o-2_6
✨ Sa2VA-4B by ByteDance
ByteDance/Sa2VA-4B
✨ VideoLLaMA 3 by Alibaba DAMO
DAMO-NLP-SG/videollama3-678cdda9281a0e32fe79af15
✨ LLaVA-Mini by Chinese Academy of Sciences
ICTNLP/llava-mini-llama-3.1-8b
✨Hunyuan-7B by Tencent
tencent/Hunyuan-7B-Instruct
✨ Hunyuan 3D 2.0 by Tencent
tencent/Hunyuan3D-2
✨MiniMax-VL-01 by MiniMax AI - A non transformer based VLM πŸ‘€
MiniMaxAI/MiniMax-VL-01

Agent:
✨ UI-TARS by Bytedance
bytedance-research/UI-TARS-7B-SFT
✨ GLM-PC by Zhipu AI
https://cogagent.aminer.cn

Dataset:
✨ Fineweb-Edu-Chinese by Opencsg
opencsg/Fineweb-Edu-Chinese-V2.1
✨ Multimodal_textbook by Alibaba
DAMO-NLP-SG/multimodal_textbook
✨ MME-Finance by Hithink AI
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reacted to crodri's post with πŸ‘€ about 6 hours ago
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At the Language Technologies Unit of the Barcelona Supercomputing Center, we are developing State of the Art Large Language and Voice Models through various national and international projects. It si an exciting time to be working in generative AI!
We are looking for bright and motivated individuals to help us achieve ambitious goals. Our latest opening for the Innovation group that develops powerful and socially useful applications for AI technology might be for you. Check it out here:
https://www.bsc.es/join-us/job-opportunities/3025lsltre2
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reacted to Delta-Vector's post with πŸ‘ about 8 hours ago