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Sam Lehman: What the Reinforcement Learning Renaissance Means for Decentralized AI

The Delphi Podcast

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AI Models: Evolution and Inference Insights

This chapter explores the evolution of AI models, emphasizing the critical balance of data and parameters during pre-training, as revealed by chinchilla scaling laws. It also discusses the paradigm shift towards improving inference time compute, which enhances model performance through advanced reasoning capabilities.

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