Promptimizer

About Promptimizer

Promptimizer – Automated AI-Powered Prompt Optimization Framework This project implements an automated system for optimizing AI prompts using genetic algorithms and machine learning techniques. It's designed to evolve and improve any LLM prompt. The example in this repo is focused on AI-driven stock screening. Read more about it here. Warning/Disclaimer Optimizing prompts using this framework can be VERY expensive! I accept no liability for any costs incurred. If cost is a consideration, please use local LLMs like Ollama for optimization.

ai anthropic aritificial-intelligence genetic-algorithm large-language-model llama3 llama3-1 llamacpp llm machine-learning

Quick Facts

Stars	211
Forks	22
Language	TypeScript
Category	Agent Tool
Quality Score	67.9707029739906/100
Open Issues	1
Last Updated	2024-07-31
Created	2024-07-26
Platforms	node
Est. Tokens	~18k

Compatible Skills

These tools work well together with Promptimizer for enhanced workflows:

mcp-server-langfuse — semantic(0.17)+complementary+rare_topics+same_lang+similar_pop+shared_platform (60%)
claude-prompts — semantic(0.26)+complementary+rare_topics+same_lang+similar_pop+shared_platform (58%)
flompt — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (53%)
mcp-image — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (52%)
chatdev — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (51%)

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Frequently Asked Questions

What is Promptimizer?

Promptimizer is An Automated AI-Powered Prompt Optimization Framework. It is categorized as a Agent Tool with 211 GitHub stars.

What programming language is Promptimizer written in?

Promptimizer is primarily written in TypeScript. It covers topics such as ai, anthropic, aritificial-intelligence.

How do I install or use Promptimizer?

You can find installation instructions and usage details in the Promptimizer GitHub repository at github.com/austin-starks/Promptimizer. The project has 211 stars and 22 forks, indicating an active community.

View on GitHub → Browse Agent Tool tools