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

Course overview

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

51 chapters
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The Book

Loving Common Lisp, or the Savvy Programmer's Secret Weapon51 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. Common Lisp Object System - CLOS

  12. Plotting Data

  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 Using DBPedia Lookup

  18. Web Scraping

  19. Interfacing with External Programs: A Lightpanda Browser Client

  20. Symbolic Mathematics in Common Lisp

  21. Overview of Probability

  22. Backpropagation Neural Networks

  23. Hopfield Neural Networks

  24. Anomaly Detection

  25. Semantic Web and Linked Data

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

  27. Automatically Generating Data for Knowledge Graphs

  28. Knowledge Graph Sampler for Creating Small Custom Knowledge Graphs

  29. Knowledge Graph Navigator Common Library Implementation

  30. Knowledge Graph Navigator Text-Based User Interface

  31. Knowledge Graph Navigator User Interface Using LispWorks CAPI

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

  33. Building a MicroGPT in Common Lisp

  34. One Library, Many LLM Providers: the litelm Library

  35. Advanced Reasoning with World Models and LLMs: The llm-reasoning Library

  36. Using Local LLMs With Ollama

  37. Image Processing With Local Ollama Models

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

  39. Using a Local Document Embeddings Vector Database 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. AI-Powered Text Adventure Game

  45. A Persistent LLM Cache with SQLite

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

  47. Building an AI Coding Assistant for Common Lisp

  48. Hacking the SBCL REPL

  49. WebKit Applications - macOS Only

  50. macOS Automation with AppleScript and SQLite - macOS Only

  51. Book Wrapup