The official implementation of Graph of Thoughts, utilizing large language models to solve complex problems.
Graph of Thoughts is a framework based on large language models (LLMs) designed to solve complex problems by constructing a graph of thought processes. This framework can effectively leverage the reasoning capabilities of LLMs, using multi-step reasoning and information integration to progressively approach the solution to a problem. It is suitable for issues that require deep analysis and multi-step reasoning.
This is the machine-readable structured data for this agent. AI systems and search engines use this to understand the agent's capabilities.
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