Скачать или смотреть Build a DeepSeek Model: The Architecture Behind the Model

A sneak peek at the first chapter of Raj Abhijit Dandekar, Rajat Dandekar, Sreedath Panat, and Naman Dwivedi's new book 📖 Build a DeepSeek Model (From Scratch) / https://hubs.la/Q040gCBy0 📖 To save 40% off this book ⭐ DISCOUNT CODE: WATCHDANDEKAR40⭐

In this video, you’ll get a guided walkthrough of Chapter 1 of "Build a DeepSeek Model (From Scratch)", explaining why DeepSeek works and which ideas actually matter. This isn’t a tour of hype or benchmarks. It’s a practical introduction to the design decisions that let DeepSeek punch far above its weight.

You’ll see how concepts like Mixture of Experts, Multi-Token Prediction, and latent attention fit together, and how they solve real problems found in standard transformer models. The goal of the chapter—and of this video—is to give you the right mental model before writing any serious code.

If you’re curious about building efficient LLMs, running serious experiments on limited hardware, or understanding what separates DeepSeek from the rest of the open-model landscape, this is where the journey starts.

👉 Get the book here: https://hubs.la/Q040gCBy0
⭐ Save 40% with code: WATCHDANDEKAR40

#Language Models #LLMs #AI #DeepSeek #SLMs #Agents