GH Repository · xingyaoww
code-act
Official Repo for ICML 2024 paper "Executable Code Actions Elicit Better LLM Agents" by Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji.
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python/condapythonPythonagent-frameworkllm-frameworkllm-finetuningllm-agentllm
This is the official code repository for the ICML 2024 paper "Executable Code Actions Elicit Better LLM Agents", which proposes having LLM agents take actions by writing executable code. It is written in Python, installable via conda, and released under an MIT licence.
You want the reference implementation and code accompanying a published research result on code-action-based LLM agents.
Use it to
- Reproduce the ICML 2024 paper's experiments
- Build agents whose actions are executable code
- Fine-tune LLMs for code-action agent behaviour
- Extend the framework for your own agent research
For Researchers and developers building code-action LLM agents
- Role
- agent-framework
- Language
- Python
- Licence
- MIT
- Forks
- 146
- Open issues
- 12
- Last push
- 2024-05-23
topicsllmllm-agentllm-finetuningagent-frameworkresearch-codepython