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Co-authored-by: Sagar Desai <60027013+sagardesai-ml-mlops@users.noreply.github.com> Co-authored-by: Qingyun Wu <qingyun.wu@psu.edu>
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2.3 KiB
AutoGen - Automated Multi Agent Chat
AutoGen offers conversable agents powered by LLM, tool or human, which can be used to perform tasks collectively via automated chat. This framework allows tool use and human participance via multi-agent conversation. Please find documentation about this feature here.
Links to notebook examples:
- Automated Task Solving with Code Generation, Execution & Debugging
- Auto Code Generation, Execution, Debugging and Human Feedback
- Solve Tasks Requiring Web Info
- Use Provided Tools as Functions
- Automated Task Solving with Coding & Planning Agents
- Automated Task Solving with GPT-4 + Multiple Human Users
- Automated Chess Game Playing & Chitchatting by GPT-4 Agents
- Automated Task Solving by Group Chat (with 3 group member agents and 1 manager agent)
- Automated Data Visualization by Group Chat (with 3 group member agents and 1 manager agent)
- Automated Complex Task Solving by Group Chat (with 6 group member agents and 1 manager agent)
- Automated Continual Learning from New Data
- Teach Agents New Skills & Reuse via Automated Chat
- Automated Code Generation and Question Answering with Retrieval Augemented Agents