Episode 39: DeepSeek-R1, Mistral IPO, FrontierMath controversy, and IDC code assistant report
Mixture of Experts
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Exploring Knowledge Distillation in DeepSeeker Models
This chapter explores knowledge distillation in machine learning, particularly how larger DeepSeeker models guide smaller, more efficient models in replicating their internal representations. It emphasizes the introduction of distilled models that cater to diverse computational needs while ensuring compatibility with existing systems.
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