appl-team/reppl
Using APPL to reimplement popular algorithms for Large Language Models (LLMs) and prompts
This project helps AI researchers and prompt engineers experiment with advanced reasoning techniques for Large Language Models (LLMs). It takes a core LLM and a prompt as input, and then applies sophisticated algorithms like Tree-of-Thought or Reflexion to improve the LLM's problem-solving capabilities, outputting more accurate or refined responses. The primary users are those focused on pushing the boundaries of LLM performance for complex tasks.
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Use this if you are an AI researcher or prompt engineer looking to apply and compare cutting-edge LLM reasoning algorithms to enhance model performance.
Not ideal if you are looking for a simple, out-of-the-box solution for basic LLM prompting without delving into algorithmic implementation details.
Stars
44
Forks
2
Language
Python
License
MIT
Category
Last pushed
Jan 14, 2025
Commits (30d)
0
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