GitHub topics: automated-prompt-engineering
finitearth/capo
We introduce CAPO, a novel prompt optimization algorithm that integrates racing and multi-objective optimization for cost-efficiency and leverages few-shot examples and task descriptions, outperforming SOTA discrete prompt optimization methods.
Language: Jupyter Notebook - Size: 157 MB - Last synced at: 6 days ago - Pushed at: 14 days ago - Stars: 5 - Forks: 0
AmanPriyanshu/GeneticPromptLab
GeneticPromptLab uses genetic algorithms for automated prompt engineering (for LLMs), enhancing quality and diversity through iterative selection, crossover, and mutation, while efficiently exploring minimal yet diverse samples from the training set.
Language: Python - Size: 11.3 MB - Last synced at: 5 days ago - Pushed at: 12 months ago - Stars: 20 - Forks: 1
davidhaas6/hellaprompt
A package for improving and evaluating LLM prompts
Language: Python - Size: 30.3 KB - Last synced at: 28 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
