Book Review: Build a DeepSeek Model (From Scratch)

Book Review: Build a DeepSeek Model (From Scratch) Amazon Manning Code on GitHub Vizuara I was offered to read Build a DeepSeek Model (From Scratch) by Raj Abhijit Dandekar, Rajat Dandekar, Sreedath Panat, and Naman Dwivedi in exchange for an honest review. The book takes the innovations behind the DeepSeek model family and rebuilds them one at a time, scaled down to consumer hardware. If you just read papers about models with MoE and various attention mechanisms, it is easy to understand what each component does, but not why it exists. More than that, it is easy to skip the details of the design and implementation, and to miss the trade-offs that led to each choice. This book covers this gap and gives you the ability to explain the design of each component rather than just its function. The overall structure flowchart TB S1["Stage 1 (Ch 2)<br/>the KV cache, its memory cost,<br/>MQA and GQA as the standard fixes"] S2["Stage 2 (Ch 3-4)<br/>Multi-Head Latent Attention,<br/>decoupled…