Coloquio Híbrido Estudiantil en Ciencia de Datos The integration of Reinforcement Learning (RL), particularly through the lens of the Bayesian paradigm, represents a pivotal shift from static, data-driven training to dynamic, decision-theoretic frameworks for enhancing cognitive capabilities in Large Language Models (LLMs) and Generative AI. While supervised fine-tuning has endowed these models with remarkable linguistic...Read More