tree-of-thoughts and tree-of-thought-prompting
The first is a production-ready Python library implementing Tree of Thoughts with LLM integration, while the second is a prompt engineering technique/guide for applying the same reasoning framework to ChatGPT—making them complements that serve different integration approaches (library-based vs. prompt-based).
About tree-of-thoughts
kyegomez/tree-of-thoughts
Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70%
This project helps developers significantly improve the reasoning capabilities of large language models (LLMs) for complex problem-solving. By providing an initial problem or question, it processes information through a 'Tree of Thoughts' approach, leading to more robust and accurate solutions. It is designed for AI/ML developers who build and deploy advanced LLM applications.
About tree-of-thought-prompting
dave1010/tree-of-thought-prompting
Using Tree-of-Thought Prompting to boost ChatGPT's reasoning
This project offers a simple method to enhance ChatGPT's ability to solve complex reasoning problems. By providing a specially structured prompt, you can guide ChatGPT (even older versions like 3.5) to think through problems more deeply, leading to more accurate answers. It's ideal for anyone who uses ChatGPT and encounters situations where it struggles with intricate logic or multi-step scenarios.
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