Decision tree methods based on large language models for complex problem solving.
Tree of Thoughts is a project developed by Princeton University aimed at utilizing large language models (LLMs) to construct decision trees to solve problems that require multi-step reasoning and decision-making. The project proposes a novel approach by simulating the human thought process to gradually build paths to solve problems, thereby enhancing the ability of AI to tackle complex issues.
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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