Lilian Weng is a machine learning researcher and writer who shares insights, research findings, and tutorials on machine learning, artificial intelligence, and data science. Through articles, blog posts, and research summaries, Lilian Weng explores topics such as deep learning, natural language processing, and reinforcement learning. Readers can learn about state-of-the-art algorithms, practical applications of machine learning, and trends shaping the field of AI.

Lil’Log

Why We Think

Reward Hacking in Reinforcement Learning

Extrinsic Hallucinations in LLMs

Diffusion Models for Video Generation

Thinking about High-Quality Human Data

Adversarial Attacks on LLMs

LLM Powered Autonomous Agents

Generalized Language Models

Learning with not Enough Data Part 2: Active Learning

Meta Reinforcement Learning