austin-starks/Promptimizer
An Automated AI-Powered Prompt Optimization Framework
Implements genetic algorithm-based evolution of prompts across populations with crossover and mutation operations, evaluating fitness through LLM-based scoring against ground-truth datasets. Supports multi-model inference via OpenAI, Anthropic, or local Ollama instances, with MongoDB persistence for tracking generational improvements. Includes visualization tooling and ground-truth generation workflows tailored for domain-specific tasks like financial data extraction.
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TypeScript
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Last pushed
Jul 31, 2024
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