automated-prompt-optimization

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gepromptet / promptolution

A unified, modular framework for prompt optimization

prompt prompt-tuning llm prompt-engineering prompt-optimization automated-prompt-engineering automated-prompt-optimization

Updated Oct 27, 2026
Python

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.

prompt prompt-tuning llm prompt-engineering prompt-optimization automated-prompt-engineering automated-prompt-optimization

Updated Aug 3, 2025
Jupyter Notebook

Applied-Machine-Learning-Lab / TAPO

Star

Code implementation of ICASSP paper "TAPO: Task-Referenced Adaptation for Prompt Optimization"

multi-task-learning large-language-models prompt-engineering automated-prompt-optimization

Updated Dec 24, 2024
Python

Wenxin-LU0 / TAPO

Star

Codes for TAPO: Task-referenced adaptation for prompt optimization

multi-task-learning large-language-models prompt-engineering automated-prompt-optimization

Updated Oct 9, 2024
Python

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