CAMEL-AI integrates rich functional modules, including SearchToolkit search toolkit, MathToolkit math toolkit, CodeExecutionToolkit code execution toolkit, and so on. These standardized tools enable the intelligences to perform complex operations such as searching, calculating, and programming.
The framework also provides a unified performance evaluation system to ensure comparable and repeatable results across experiments. Developers can use the built-in reinforcement learning environment to continuously optimize the performance of the intelligences and obtain high-quality inference paths and multi-hop quiz data through the data generation module.
This answer comes from the articleCAMEL-AI: An Open Source Framework for Building Multi-Intelligent Collaborative SystemsThe
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