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Discover Chameleon, our cutting-edge compositional reasoning framework designed to enhance large language models (LLMs) and overcome their inherent limitations, such as outdated information and lack of precise reasoning. By integrating various tools such as vision models, web search engines, Python functions, and rule-based modules, Chameleon delivers more accurate, up-to-date, and precise responses, making it a game-changer in the natural language processing landscape. With GPT-4 at its core, Chameleon has showcased exceptional improvements in accuracy on benchmark tasks, outperforming competitors and setting new industry standards.
Features
- The GPT-4 planner is capable of making good decisions on how to sequence tools in a few-shot setup
- For ScienceQA, GPT-4 often relies on either the knowledge retriever or Bing search, but rarely both
- Chameleon is a plug-and-play compositional reasoning framework that augments LLMs with various types of tools
- Chameleon synthesizes programs to compose various tools, including LLM models
- Chameleon infers the appropriate sequence of tools to compose and execute in order to generate a final response
- Chameleon with GPT-4 achieves an 86.54% accuracy on ScienceQA
Project Samples
Categories
Large Language Models (LLM)License
Apache License V2.0Follow Chameleon LLM
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