This book is 100% completeLast updated on 2026-07-16
An introduction to Common Lisp and many useful example programs.
Use LLMs, as well as classic symbolic AI techniques.
This book is 100% completeLast updated on 2026-07-16
An introduction to Common Lisp and many useful example programs.
Use LLMs, as well as classic symbolic AI techniques.
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About
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About the Book
This new edition (released March 2026) of my book "Loving Common Lisp, or the Savvy Programmer's Secret Weapon" adds Large Language Model (LLM) examples and other small changes. I removed some of the older material from the earlier editions and added application examples for deep learning, back-propagation and Hopfield neural networks, using the CLML machine learning library, heuristic search.
The purpose of this book is to provide a quick introduction to Common Lisp and then provide the user with many fun and useful examples for using Common Lisp.
Before you buy this book you can first look at the programming examples at https://github.com/mark-watson/loving-common-lisp
The author has used Common Lisp professionally since 1982.
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About the Author
Interested in the author? Please visit Mark's web site at http://markwatson.com
Mark is the author of 16 books published for Springer-Verlag, J. Wiley, McGraw-Hill, and Morgan Kaufman publishers.
Mark's client list includes Google, Disney, SAIC, CompassLabs, Embed.ly, Nintendo, Lutris Technologies, PacBell, and the Webmond Corporation.
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Also by the Author
Also by the Author
Practical Artificial Intelligence Programming With Java
LangChain and LlamaIndex Projects Lab Book: Hooking Large Language Models Up to the Real World
Haskell Tutorial and Cookbook
A Lisp Programmer Living in Python-Land: The Hy Programming Language
Practical Artificial Intelligence Programming With Clojure
Ollama in Action: Building Safe, Private AI with LLMs, Function Calling and Agents
Build Intelligent Systems with JavaScript
Practical Artificial Intelligence Development With Racket
Artificial Intelligence Using Swift
Practical Python Artificial Intelligence Programming
Artificial Intelligence Programming in Python: Exploring the Boundaries of Deep Learning, Symbolic AI, and Knowledge Representation
Safe For Humans AI
LM Studio in Action: Building Safe, Private AI with LLMs, Function Calling and Agents with MCP
Gerbil Scheme in Action
Practical AI with Google: A Solo Knowledge Worker's Guide to Gemini, AI Studio, and LLM APIs
Winning Big With Small AI
Practical AI Programming with Prolog
The Rise of Local Coding Agents
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