The LLM Engineering Handbook by Paul Iusztin and Maxime Labonne
Designing Machine Learning Systems by Chip Huyen
Building LLMs for Production by Louis-François Bouchard and Louie Peters
Build a Large Language Model (from Scratch) by Sebastian Raschka, PhD
Hands-On Large Language Models: Language Understanding and Generation by Jay Alammar and Maarten Grootendorst
Prompt Engineering for LLMs: The Art and Science of Building Large Language Model-Based Applications by John Berryman and Albert Ziegler
Building Agentic AI Systems: Create Intelligent, Autonomous AI Agents that can Reason, Plan, and Adapt by Anjanava Biswas and Wrick Talukdar
Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs by James Phoenix and Mike Taylor
The AI Engineering Bible by Thomas R. Caldwell
Life 3.0 by Max Tegmark
AI Superpowers by Kai-Fu Lee
AI 2041 by Kai-Fu Lee
The Age of A.I. and Our Human Future by Henry Kissinger
Human Compatible by Stuart Russell
The Alignment Problem by Brian Christian
The Big Nine by Amy Webb
Creativity Code by Marcus du Sautoy
Competing in the Age of AI by Marco Iansiti
The MANIAC by Benjamin Labatut
The Art of Computer Programming by Donald Knuth
Artificial Intelligence: A Guide for Thinking Humans by Melanie Mitchell
Probabilistic machine learning by Kevin Murphy
Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig
Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence by Gerhard Weiss
Artificial Intelligence: Foundations of Computational Agents by David L. Poole and Alan K. Mackworth
Intelligent Agents: Theory and Practice by Michael Wooldridge
Reasoning about Rational Agents by Michael Wooldridge
An Introduction to MultiAgent Systems by Michael Wooldridge
A Brief History of Artificial Intelligence: What It Is, Where We Are, and Where We Are Going by Michael Wooldridge
Build a Large Language Model (From Scratch) by Sebastian Raschka
LLM Engineer's Handbook: Master the art of engineering large language models from concept to production by Paul Iusztin and Maxime Labonne
AI Engineering: Building Applications with Foundation Models by Chip Huyen
Hands-On Large Language Models by Jay Alammar and Maarten Grootendorst
Why Machines Learn: The Elegant Math Behind Modern AI by Anil Ananthaswamy
Alice’s Adventures in a Differentiable Wonderland: A Primer on Designing Neural Networks by Simone Scardapane
The Little Book of Deep Learning by François Fleuret
The Basics of Reinforcement Learning from Human Feedback by Nathan Lambert
AI Snake Oil: What Artificial Intelligence Can Do, What It Can’t, and How to Tell the Difference by Arvind Narayanan and Sayash Kapoor
Co-Intelligence: Living and Working with AI by Ethan Mollick
Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence by Kate Crawford
Genesis: Artificial Intelligence, Hope, and the Human Spirit by Henry Kissinger, Eric Schmidt, and Craig Mundie
The Singularity Is Nearer: When We Merge with AI by Ray Kurzweil
Dancing with Qubits - 2nd edition: From qubits to algorithms, embark on the quantum computing journey shaping our future by Robert S Sutor
Nexus: A Brief History of Information Networks from the Stone Age to AI by Yuval Harari
Book Title: Building Agentic AI Systems
Authors: Anjanava Biswas, Wrick Talukdar, Matthew R. Scott, Dr. Alex Acero
"Superintelligence: Paths, Dangers, Strategies" by Nick Bostrom
"Artificial Intelligence: A Guide to Intelligent Systems" by Michael Negnevitsky
"Life 3.0: Being Human in the Age of Artificial Intelligence" by Max Tegmark
"Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow" by Aurélien Géron
"The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World" by Pedro Domingos
Tags: List of Books,Agentic AI,Generative AI,Technology,
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