xingyaoww/code-act
Executable Code Actions Elicit Better LLM Agents π» Code β’ π Paper β’ π€ Data (CodeActInstruct) β’ π€ Model (CodeActAgent-Mistral-7b-v0.1) β’ π€ Chat with CodeActAgent! We propose to use executable Python code to consolidate LLM agentsβ actions into a unified action space (CodeAct). Integrated with a Python interpreter, CodeAct can execute code actions and dynamically revise prior actions or emit new actions upon new observations (e.g., code execution results) through multi-turnβ¦ See the full description on the dataset page: https://huggingface.co/datasets/xingyaoww/code-act.
| Author / organization | xingyaoww |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 450 (as reported by Hugging Face) |
| Likes | 77 |
| Created | 15 January 2024 |
| Last updated at source | 5 February 2024 |
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Connected in the knowledge graph
- mradermacher/CodeActAgent-Mistral-7b-v0.1-i1-GGUFModel Β· used to train
- mradermacher/CodeActAgent-Llama-2-7b-i1-GGUFModel Β· used to train
- mradermacher/CodeActAgent-Mistral-7b-v0.1-GGUFModel Β· used to train
- mradermacher/CodeActAgent-Llama-2-7b-GGUFModel Β· used to train
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