MikeWangWZHL/Solo-Performance-Prompting
Repo for paper "Unleashing Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration"
This project helps evaluate how large language models (LLMs) perform on complex tasks like creative writing, collaborative games, and logic puzzles. It takes a task description and an LLM's output, then evaluates the LLM's ability to solve problems by having it adopt multiple internal 'personas' that collaborate. The intended users are AI researchers and prompt engineers who want to understand and improve LLM problem-solving capabilities.
349 stars. No commits in the last 6 months.
Use this if you are an AI researcher or prompt engineer looking to experiment with and evaluate advanced prompting techniques that enable LLMs to tackle complex, multi-step reasoning or creative generation tasks more effectively.
Not ideal if you are looking for an out-of-the-box application for end-users, or if your primary goal is to fine-tune an LLM rather than explore prompting strategies.
Stars
349
Forks
32
Language
Python
License
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Category
Last pushed
May 08, 2024
Commits (30d)
0
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