DeepMind Researchers Introduce Reinforced Self-Training (ReST): A Simple algorithm for Aligning LLMs with Human Preferences Inspired by Growing Batch Reinforcement Learning (RL)

Large language models (LLMs) can produce high-quality content but may also generate dangerous material if not aligned properly; the Reinforced Self-Training (ReST) technique addresses this issue using offline RL and achieves better translation quality than supervised learning baselines.

marktechpost.com

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8/27/2023

Evaluating Large Language Models: Meet AgentSims, A Task-Based AI Framework for Comprehensive and Objective Testing

LLMs have revolutionized NLP, but the challenge of evaluating their performance remains, leading to the development of new evaluation tasks and benchmarks such as AgentSims that aim to overcome the limitations of existing standards.