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@NFTCPS: If you work in AI, take this UCLA course! Theory + practice: a deep dive into RL and LLM training from scratch. Covers MDP, PPO algorithms, the full RLHF process, and hands-on Jupyter coding. Taught by a UCLA professor with videos and assignments, ready to apply immediately after completion. Course URL: https://ernestryu.com/courses/RL-LLM.html…

X AI KOLs Timeline · 13h ago Cached

This article recommends a UCLA-led online course on Reinforcement Learning for Large Language Models, covering theory, algorithms like PPO and RLHF, and practical coding exercises.

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#online-course

@wsl8297: UC's Open Course on Reinforcement Learning for LLMs uses a 'theory + practice' approach to thoroughly explain key AI training techniques from the ground up, helping you systematically build a complete framework spanning from RL to LLM training. Comprehensive curriculum paired with complete resources: lecture slides, full videos, and practical exercises are all provided so you can start implementing right away…

X AI KOLs Timeline · yesterday Cached

Assistant Professor Ernest K. Ryu at UCLA offers the open course 'Reinforcement Learning for Large Language Models,' comprehensively analyzing key LLM training techniques like RLHF, PPO, and DPO alongside their supporting resources through a blend of theory and practice. The course provides developers and researchers with a systematic learning path from foundational algorithms to practical deployment.

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