GateXAIML / Recommended Books

Generative AI and LLMs

Why this subject matters: Generative AI and LLMs are the fastest-growing hiring category in tech right now — roles explicitly built around fine-tuning, prompting, and deploying large language models barely existed three years ago and are now common at both big companies and startups.

In-depth

Introduction to Large Language Models

Tanmoy Chakraborty

A structured, up-to-date introduction to how LLMs actually work — architecture, training, and fine-tuning — written for readers who want real technical grounding rather than a surface-level overview.

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via Amazon Associates
Standard reference

Generative Deep Learning

David Foster · 2nd Edition

Covers the broader generative modeling landscape — GANs, VAEs, diffusion models, and transformers — in one coherent book.

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Practice & problems

Designing Machine Learning Systems

Chip Huyen

Less about the models and more about shipping them reliably — increasingly the actual job once you're past the interview.

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In-depth

Hands-On Large Language Models

Jay Alammar & Maarten Grootendorst

Written by the creator of the famous "Illustrated Transformer" — visual, clear explanations of how LLMs actually work internally.

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