Ajita Gupta
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Books that shape how I build, learn and live
Honest reviews and reading notes across software engineering, AI, psychology, money, relationships and fiction.
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Generative AI & LLMs: The Beginner's Practical Guide
Emmanuel Onwuka
Prompt Engineering: From Basics to Brilliance
Amit Jain
Claude Code for Beginners Made Easy
David M. Patel
Introduction to the Modern AI Stack: LLM, RAG, Agents, MCP, RPA, and Workflow
Jerome Stack
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Introduction to the Modern AI Stack: LLM, RAG, Agents, MCP, RPA, and Workflow
Jerome Stack
This is a lexicon on AI. If you're a technical person it's the next logical step after prompt engineering: From "How do I use AI?" to "How do I build software with AI?". Modern AI systems are much more than an LLM - they're composed of layers such as orchestration, retrieval, vector databases, evaluation, observability, and application logic. This book talks about these different layers. Since AI is moving forward at breakneck speed and chances are high you haven't really grasped all the breakthroughs (especially in the past 4 years since the launch of ChatGPT), this book will clarify all necessary terms and give the much-needed details to you. I recommend it to AI leaders, developers, students, consultants, and entrepreneurs. Level up your vocabulary in AI architecture!
2026-07-25
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"I read not to finish more books, but to find ideas worth applying."— Ajita