Chain of Recursive Thoughts
Enhances AI model reasoning by making it recursively evaluate and refine its responses through self-argumentation.
About
Chain of Recursive Thoughts (CoRT) empowers AI models to think more critically and deeply. It works by having the AI generate an initial response, then recursively generate alternative responses, evaluate all options, and select the best one. This iterative process, inspired by self-doubt and repeated refinement, leads to significantly improved results, especially in complex programming tasks, by enabling the AI to dynamically determine how many 'thinking rounds' it requires.
Key Features
- Competitive alternative generation for diverse solutions
- Self-evaluation of generated responses
- Dynamic adjustment of thinking depth based on problem complexity
- Iterative refinement process for optimal output
- 2,089 GitHub stars
Use Cases
- Improving AI performance on complex programming tasks
- Enhancing reasoning capabilities of smaller AI models
- Creating more robust and accurate AI responses
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