Artificial Intelligence Using Swift

Course overview

LLMs, NLP, Deep Learning, NLP, natural language processing, question answering, Semantic Web and Linked Data, Knowledge Graphs, Knowledge Representation

27 chapters
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The Book

Artificial Intelligence Using Swift27 chapters

Begin
  1. Cover Material, Copyright, and License

  2. Preface

  3. Part 1: Getting Started with Swift for AI Development

  4. Setting Up Swift for Command Line Development

  5. Background Information for Writing Swift Command Line Utilities

  6. Web Scraping

  7. Part 2: Large Language Models

  8. Using the OpenAI LLM APIs

  9. Using Ollama to Run Local LLMs

  10. Running Local LLMs with Apple’s MLX Framework

  11. Using the AnyLanguageModel Package with OpenAI, Gemini, and Ollama

  12. Part 3: Deep Learning, Natural Language Processing, and Retrieval-Augmented Generation

  13. Deep Learning Introduction

  14. Core ML and Create ML

  15. Natural Language Processing Using Apple’s Natural Language Framework

  16. Document Question Answering Using Gemini APIs and a Local Embeddings Vector Database

  17. Part 4: The Semantic Web, Knowledge Graphs, and Linked Data

  18. Linked Data and the Semantic Web

  19. Querying Knowledge Graphs with SPARQL and Swift

  20. Part 5: Apple Intelligence — On-Device LLMs with FoundationModels

  21. Using Apple Intelligence’s Default System Model To Build a Chat Command Line Tool

  22. Part 6: Applied AI Projects

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

  24. Anomaly Detection

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

  26. A Text Adventure Game With a Fireworks.ai LLM

  27. Book Wrap Up