Cover Material, Copyright, and License

Preface

1. Notes on the new June 2025 Book Edition
2. Requests from the Author
3. Notes on the Second Edition
4. Book Structure
5. Requests from the Author
6. Parts of this Book are Specific for macOS and iOS, with Some Support for Linux
7. Code for this Book
8. Author’s Background
9. Cover Art
10. CoreML Libraries Used in this Book
11. Swift 3rd Party Libraries
12. Acknowledgements

Part 1: Introduction and Short Examples

Setting Up Swift for Command Line Development

1. Installing Swift Packages
2. Creating Swift Packages
3. Accessing Libraries that You Write in Other Projects

Background Information for Writing Swift Command Line Utilities

1. Using Shell Processes
2. FileIO Examples
3. Swift REPL

Web Scraping

1. Running in the Swift REPL

Part 2: Large Language Models

Using the OpenAI LLM APIs

1. Core Architecture
2. Key Features
3. Technical Implementation Details
4. Running Tests

Using APIs for Anthropic Claude LLMs

1. Running the examples

Using Groq APIs to Open Weight LLM Models

1. Implementation of a Client Library for the Groq APIs
2. Running the Tests

Using the xAI Grok LLM

1. Implementation of a Grok API Client Library

Using Ollama to Run Local LLMs

1. Running the Ollama Service
2. Ollama Wrap Up

Using Apple’s MLX Framework to Run Local LLMs

1. MLX Framework History
2. MLX Resources on GitHub
3. Example Application for MLX Swift Examples Repository
4. Analysis of Swift and SwiftUI Code in the LLMEval Application

Part 3: Apple’s CoreML and NLP Libraries

Deep Learning Introduction

1. Simple Multi-layer Perceptron Neural Networks
2. Deep Learning

Natural Language Processing Using Apple’s Natural Language Framework

1. Using Apple’s NaturalLanguage Swift Library
2. A simple Wrapper Library for Apple’s NLP Models

Documents Question Answering Using OpenAI GPT4 APIs and a Local Embeddings Vector Database

1. Extending the String Class
2. Implementing a Local Vector Database for Document Embeddings
3. Create Local Embeddings Vectors From Local Text Files With OpenAI GPT APIs
4. Using Local Embeddings Vector Database With OpenAI GPT APIs
5. Wrap Up for Using Local Embeddings Vector Database to Enhance the Use of GPT3 APIs With Local Documents

Part 4: Knowledge Representation and Data Acquisition

Linked Data and the Semantic Web

1. Understanding the Resource Description Framework (RDF)
2. Frequently Used Resource Namespaces
3. Understanding the SPARQL Query Language
4. Semantic Web and Linked Data Wrap Up

Example Application: iOS and macOS Versions of my KnowledgeBookNavigator

1. Screen Shots of macOS Application
2. Application Code Listings

Part 5: Apple Intelligence

1. Developers Can Now Weave Apple Intelligence Directly Into Their Apps
2. Key Advantages for Developers:

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

Using Apple Intelligence’s Default System Model To Build a Coding Assistant Command Line Tool

Book Wrap Up