DeepSeek: Reverse Engineering an AI Assistant by Interviewing Itself

This article explores the internal architecture and reasoning processes of the DeepSeek AI model through a self-interview methodology. It examines technical aspects like Mixture of Experts (MoE) and Multi-head Latent Attention (MLA) while auditing the model's responses against academic research.
Why it matters
Understanding the 'black box' of LLM reasoning is crucial for developers and researchers aiming to improve AI reliability and transparency.
By Manish Shahi · Software Engineer • AI Developer
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