lupantech/chameleon-llm
Codes for "Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models".
This project helps researchers and data scientists improve how Large Language Models (LLMs) answer complex questions, particularly in scientific fields and mathematical problem-solving. By combining LLMs with specialized tools like vision models, web search, or Python functions, it takes diverse inputs (text, images, tables) and produces highly accurate, detailed answers. Anyone working on advanced AI applications for complex reasoning tasks would benefit from this.
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Use this if you need an LLM to tackle multi-step problems that require accessing external information, performing calculations, or analyzing different data types beyond simple text prompts.
Not ideal if your primary goal is basic text generation or single-step question answering without the need for integrating various external tools or advanced compositional reasoning.
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Apache-2.0
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Last pushed
Dec 23, 2023
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