AI Engineer's Silicon Cheatsheet: Must have book for AI Engineers and Researchers

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The book "Artificial Intelligence: AI Engineer's Cheatsheet: Silicon edition" is the only book you need to master AI and ML concepts to become a ML Engineer or ML Researcher.

Get your copy at: AI ENGINEER SILICON CHEATSHEET

The book will give you the real research and engineering knowledge you lack. No AI will replace you if you have this skill. For theoretical knowledge, search algorithms were enough.

This book covers all major topics that you must understand to build a practical deep understanding of state-of-the-art (SOTA) AI. Some of the topics include:

Design of AI systems (MLSys) and LLM serving. Foundation of systems like vLL, SGLang. Optimizations that help OpenAI serve over 900M users weekly like Prefill Chunk.
Core LLM architecture and operations like Attention with variants like FlexAttention, FlashAttention and more.
Core Deep Learning optimizations like Quantization.
Architecture and optimization techniques of AI processors like GPU, TPU, Gaudi and CPU (x86 + ARM).
Core Intuitive Understanding that helps you understand the global AI race and direction and helps you to jump into AI discussions.

On completing this book, you will be ready:

To clear interview opportunities at High-Tech companies like Meta, Google, xAI and Foundational AI startups like Mixtral and Perplexity.
Be able to conduct your own independent AI research.
Be able to do quick calculations of various AI/LLM requirements.
Deep insights into everything AI.
Join AI discussions on World Politics or Future of AI.

This book is for:

Students and developers preparing for Coding Interviews specifically for Machine Learning/Deep Learning/GenAI positions.
Experienced developers who wanted to revise their Deep Learning skills.
Students who need a coding sheet to revise DL/AI/ML topics quickly.

Get started with this book and change the equation of your career.

Book: Artificial Intelligence: AI Engineer's Cheatsheet: Silicon edition
Author (1): Seymour Boris Papermaster
Published: September 2025 (Edition 1)