913: LLM Pre-Training and Post-Training 101, with Julien Launay
Super Data Science: ML & AI Podcast with Jon Krohn
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Exploring Technical Approaches in Reinforcement Learning
This chapter focuses on the technical intricacies of reinforcement learning methods, including RLHF and RLEF. It also examines key algorithms like PPO and A2C, emphasizing their effects on training data and the selection process for optimal AI use cases.
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