Apple Intelligence for Masterminds: How to Create Intelligent Applications for iPhones, iPads and Macs (Paperback or Softback)

Apple Intelligence for Masterminds
2026 Edition

Discover how AI models work and harness the power of Apple Intelligence to create chatbots, translate text, generate images, transcribe spoken audio, recognize text in documents, enhance user writing, process images, identify human poses and gestures, access external models from top companies like OpenAI, and use coding assistants and agents to take your applications to the next level.

After reading this book, you will know how to work with Apple Intelligence and Siri, integrate on-device models for fast and private intelligence, and connect to powerful external model providers such as OpenAI to bring ChatGPT-level capabilities into your applications.

Artificial intelligence is already transforming how software is built and how users interact with technology. Developers who understand how to apply it effectively gain a decisive advantage. This book teaches you how to use artificial intelligence not as a gimmick, but as a practical tool to enhance functionality, automate complex workflows, and deliver intelligent experiences to your users.

With this book, you will learn:

How artificial neural networks work
How Apple Intelligence works
How to implement Apple's on device models to take your applications to the next level
How to access OpenAI models to incorporate ChatGPT level intelligence into your apps.
How to train your own models
How to build a neural network from scratch
How to train a neural network with the MLX framework
and more!

Content by Chapter:

Chapter 1

• Requirements
• Setup

Chapter 2

• Introduction to Apple Intelligence
• Introduction to Artificial Intelligence
• Artificial Neural Networks
• Model Architectures
• Apple Models

Chapter 3

• Code Completion
• Coding Assistant
• External and Local Models

Chapter 4

• Image Playground
• Genmojis
• Writing Tools

Chapter 5

• Local Large Language Models
• Foundation Models Framework

Chapter 6

• Language Recognizer
• Tokenizer, Tagger and Embeddings
• Translation Framework

Chapter 7

• Vision Framework
• Image Classification
• Barcode Detection
• Text Recognition
• Document Recognition
• Face, Body and Hand Detection
• Person Segmentation

Chapter 8

• Speech Analyzer
• Voice Synthesizer
• Sound Analysis

Chapter 9

• Siri

Chapter 10

• Create ML and Core ML
• Cloudflare
• Access to OpenAI GPT Models

Chapter 11

• How Neural Networks Work
• Network Architecture
• Network Training and Optimization
• Forward Propagation, Backpropagation, and Gradient Descent
• MLX Framework