Deep-dive into DeepSeek
Practical AI
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Architecture and Implications of DeepSeek R1
This chapter explores the unique architecture of the DeepSeek R1 model, comparing it with Lama models while showcasing its mixture of experts layers and data generation techniques. It discusses the training methodologies, including knowledge distillation for creating smaller, efficient models suitable for lower-spec hardware. The chapter also addresses the evolving AI startup landscape, emphasizing future challenges in funding and integration within existing infrastructures.
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