AutoPrompt and promptolution
Intent-based prompt calibration and modular prompt optimization represent competing approaches to the same problem—automating prompt engineering—with AutoPrompt focusing on calibration-driven tuning while Promptolution emphasizes modularity and framework flexibility.
About AutoPrompt
Eladlev/AutoPrompt
A framework for prompt tuning using Intent-based Prompt Calibration
This tool helps anyone working with Large Language Models (LLMs) to automatically create, refine, and optimize their prompts. You provide an initial prompt and a description of your task (like moderating content or generating text), and the system returns a highly effective, robust prompt. It's designed for professionals who need reliable and high-quality LLM outputs without extensive manual prompt engineering.
About promptolution
automl/promptolution
A unified, modular Framework for Prompt Optimization
This framework helps AI researchers and advanced practitioners fine-tune their prompts for large language models. You input initial prompts and data, and it outputs optimized prompts that yield better responses for your specific task. It's designed for those who need precise control over the prompt optimization process for research or advanced applications.
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