Lecture on Scaling Reinforcement Learning for LLMs
agarwl_ · x · 2026-07-16
A guest lecture at McGill on how to scale reinforcement learning for LLMs, complete with a link to the slides.
This type of content typically covers method selection for RL in large model training, engineering and training challenges during scaling, and related lessons learned. It is highly recommended for those interested in LLM alignment, training pipelines, and research practices.
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