Loving Common Lisp, or the Savvy Programmer's Secret Weapon

Course overview

Common Lisp, artificial intelligence, knowledge representation, LLMs, neural networks, deep learning

56 chapters
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The Book

Loving Common Lisp, or the Savvy Programmer's Secret Weapon56 chapters

Begin
  1. Cover Material, Copyright, and License

  2. Preface

  3. Introduction

  4. Common Lisp Basics

  5. Quicklisp

  6. Defining Lisp Functions

  7. Defining Common Lisp Macros

  8. Using Common Lisp Loop Macros

  9. Common Lisp Package System

  10. Input and Output

  11. Plotting Data

  12. Common Lisp Object System - CLOS

  13. Network Programming

  14. One Interface for Brave, Tavily, and Perplexity Web Search APIs

  15. Accessing Relational Databases

  16. Natural Language Processing

  17. Information Gathering

  18. Using The CL Machine-Learning Library

  19. Backpropagation Neural Networks

  20. Hopfield Neural Networks

  21. Anomaly Detection

  22. Semantic Web and Linked Data

  23. Implementing a Simple RDF Datastore and Partial SPARQL Support in Common Lisp

  24. Automatically Generating Data for Knowledge Graphs

  25. Knowledge Graph Sampler for Creating Small Custom Knowledge Graphs

  26. Knowledge Graph Navigator Common Library Implementation

  27. Knowledge Graph Navigator Text-Based User Interface

  28. Knowledge Graph Navigator User Interface Using LispWorks CAPI

  29. Building a MicroGPT in Common Lisp

  30. Using the OpenAI and Mistral APIs

  31. Using Local LLMs With Ollama

  32. Image Processing With Local Ollama Models

  33. Using the Anthropic Claude LLM Completion API

  34. Moonshot’s Kimi K2 Model

  35. Using the Hugging Face Deep Learning Natural Language Processing APIs

  36. Knowledge Base Navigator: Building an AI-Powered Information System

  37. Interfacing with External Programs: A Lightpanda Browser Client

  38. Web Scraping

  39. Using a Local Document Embeddings Vector Database With OpenAI GPT-5 APIs for Semantically Querying Your Own Data

  40. Agentic RAG Using the Gemini LLM APIs

  41. Prompt Engineering for Large Language Models

  42. Client Library for the Google Gemini LLM APIs

  43. AutoContext: Prepare Effective Prompts with Context for LLM Queries

  44. Agents Orchestrating LLM Tool Use

  45. More Agents Using X’s Grok and Perplexity APIs

  46. New LLM Library With Tool Support

  47. AI-Powered Text Adventure Game

  48. Using Common Lisp with Wolfram/One

  49. Symbolic Mathematics in Common Lisp

  50. WebKit Applications - macOS Only

  51. A Daily-Use Gemini REPL with Search Grounding and Persistent Cache

  52. Building an AI Coding Assistant for Common Lisp

  53. Hacking the SBCL REPL

  54. Building a Neural-Symbolic Knowledge Graph Engine in Common Lisp

  55. Overview of Probability

  56. Book Wrapup