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Why Compound AI + Open Source will beat Closed AI

Latent Space: The AI Engineer Podcast

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Reinforcement Learning: Paths to Progress

This chapter discusses the contrasting approaches to reinforcement learning and model training between a specific team and the open-source community, highlighting the pros and cons of different methodologies. It forecasts the potential rise of open-source models, the evolution from training to inference scaling laws, and the ongoing debate around transparency in AI development.

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