Gibbs-with-Langevin

BayesPO framework uses Bayesian sampling for LLM prompt optimization

Researchers have developed BayesPO, a novel framework for optimizing prompts in large language models without altering model parameters. This method treats prompt optimization as Bayesian posterior sampling, combining t…