action augmentation

LLM fine-tuning may reduce action diversity in games, research suggests

A new research paper explores the impact of supervised fine-tuning (SFT) on the behavioral diversity of large language models (LLMs) in sequential decision-making tasks. The study, conducted using variants of Tic Tac To…