Deep SEQ Insights
The discussion delves into the architecture of Deep SEQ, highlighting its similarities and differences with LLAMA, particularly in the use of mixture of experts layers. Fine tuning processes are explored, noting that while the overall training framework remains consistent, unique elements like interim reasoning models play a crucial role in data generation. The efficiency of the model is emphasized, showcasing how it streamlines both training and inference.In this clip
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Practical AI
Deep-dive into DeepSeek
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