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Misha Laskin, Reflection.ai — From Physics to SuperIntelligence

Manifold

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Exploring the Challenges of Machine Learning Pre-Training and Future Potential

This chapter explores the complexities of pre-training machine learning models, focusing on data usage, model scaling, and the intricacies of overfitting. It also discusses the future opportunities for machine learning in scientific discovery and the advancements required for collaborative intelligence.

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