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14min chapter
Deep-dive into DeepSeek (Practical AI #302)
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DeepSeek: Innovations and Challenges in AI Architecture
This chapter examines the architecture and training of the DeepSeek AI model, comparing it to the Lama model and highlighting their differing fine-tuning processes. It emphasizes the importance of mixture of experts layers, the use of synthetic data, and knowledge distillation techniques for creating accessible model versions. Additionally, the chapter discusses the implications of DeepSeek's launch for the AI landscape and investment trends, urging businesses to adapt to shifting model options and integration challenges.
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