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Thank you Kirk for sharing our book, it means a lot to us! I hope that many can find value in it.

Announcing "Super Study Guide: Transformers & Large Language Models", a 250-page book with ~600 colored illustrations covering the concepts of the Stanford workshop that Shervine and I are teaching at this summer.

Impressive new book by Afshine Amidi and Shervine Amidi — "Super Study Guide: Transformers & Large Language Models" …

I’m enjoying reading through Afshine Amidi & Shervine Amidi ‘s latest book on Transformers and LLMs. It’s a good balance between math formalizations and application of the latest techniques in foundational models! And the graphs are beautiful 🖌️

This book looks pretty interesting. Illustrated study guide on Transformers & LLMs

This book is really nicely illustrated! Nearly every page has multiple figures/diagrams that help explain the underlying concepts behind transformers & LLMs, including embeddings, attention, LoRA, distillation, quantization, ... Nice work, Afshine Amidi and Shervine Amidi !

Although there are more learning resources for AI and ML than ever, finding high-quality ones can still be challenging. Here are two I’m working through now 👇 1) Super Study Guide: Transformers & Large Language Models conceptually builds LLMs from the ground up. It also has

New book "Super Study Guide: Transformers & Large Language Models" by Afshine Amidi and Shervine Amidi: amzn.to/3SW6YYm Beautifully presented, excellent content, timely, thorough, educational, and a result of great dedication. Shervine and Afshine tell me that they started

Really enjoying this visual study guide on Transformers and LLMs. It contains a very concise overview of the key concepts in Transformers and LLMs. Topics range from embeddings to attention mechanism to post-training techniques. Thanks for the great book Shervine Amidi and

If you are looking to have a better understanding of LlMs and how they (really) work, do yourself a favor and get this book by Afshine Amidi and Shervine Amidi. It is amazing! It covers all the inportant concepts behind the Transformer architecture with deep learning foundations,

Transformers and LLMs have revolutionized AI by dramatically improving how machines understand and generate language. They excel at capturing context and meaning in text, enabling breakthroughs in applications like chatbots, translation, coding, and creative content generation.

Thank you Bhavesh Bhatt for the great review!

「Super Study Guide: Transformer と大規模言語モデル」日本語版が発売されました。250 ページにわたり約 600 点のカラーの図を交えて Transformer と LLM の詳細を解説しています。

This Spring, my twin brother Shervine Amidi and I will be teaching a new class at Stanford called "Transformers & Large Language Models" (CME 295). The goal of this class is to understand where LLMs come from, how they are trained, and where they are most used. We will also explore

Announcing the VIP Cheatsheet for Stanford's CME 295 Transformers & Large Language Models class. Topics include: - Transformers: self-attention, architecture, variants, optimization techniques (sparse attention, low-rank attention, flash attention) - LLMs: prompting, finetuning

Geminiの開発エンジニアが書いたスタンフォード講義資料「Transformer と大規模言語モデル」の日本語版 by Yoshiyuki Nakai 中井喜之 これはがっつり読みたい。書籍紹介ページ superstudy.guide/transformer-da… と、無償のチートシートもある。github.com/afshinea/stanf…

Stanford University released the best cheatsheets you'll ever find to learn LLMs & Transformers! These cheatsheets cover: • Self-attention, Flash Attention, LoRA, SFT • Mixture of Experts, Distillation, Quantization • RAG, Agents, LLM-as-a-judge 100% Free and Open Source