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Forest-of-Thoughts(FoT)
Generates multiple reasoning trees to enhance diversity and robustness
In 30 seconds
- What
- Generates multiple independent reasoning trees exploring different angles, then synthesizes insights across trees to find robust solutions.
- When to use
- Complex problems requiring diverse perspectives, where single reasoning paths miss critical trade-offs or failure modes.
- Watch out
- Computational cost scales steeply with tree count; synthesis quality depends heavily on how well you weight and combine tree outputs.
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Forest-of-Thoughts: Overview
Generates multiple reasoning trees to enhance diversity and robustness
- Multiple independent reasoning trees
- Enhanced solution diversity
- Robust error tolerance
- Parallel reasoning exploration
- Cross-tree validation
- Best path selection
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References
The papers, specifications, and repositories this pattern is based on.
- Tree of Thoughts: Deliberate Problem Solving with Large Language Models (Yao et al., 2023)arXiv:2305.10601
- Graph of Thoughts: Solving Elaborate Problems with Large Language Models (Besta et al., 2023)arXiv:2308.09687
- Self-Consistency Improves Chain of Thought Reasoning (Wang et al., 2022)arXiv:2203.11171
- Constitutional AI: Harmlessness from AI Feedback (Bai et al., 2022)arXiv:2212.08073
- LangGraph: Multi-Agent Reasoning Workflows
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