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RLPrompt Uses Reinforcement Learning for Prompt Optimization
Latest   Machine Learning

RLPrompt Uses Reinforcement Learning for Prompt Optimization

Last Updated on July 17, 2023 by Editorial Team

Author(s): Jesus Rodriguez

Originally published on Towards AI.

The new research from Carnegie Mellon University formulates prompt optimization as a policy optimization problem.


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Prompting has emerged as a promising approach for solving a variety of natural language processing (NLP) challenges using pre-trained language models (LMs), such as GPTs and masked… Read the full blog for free on Medium.

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