Build smarter apps with Apple Intelligence. Discover how AI models work and harness the power of Apple Intelligence to create chatbots, translate text, transcribe spoken audio, recognize text in documents, enhance user writing, process images, identify human poses and gestures, and access external models from leading companies like OpenAI.

After reading this book, you will know how to work with Apple Intelligence and Siri AI, 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 tasks, and deliver intelligent experiences to your users. Don’t be left behind.

This book is for Swift developers who want to bring intelligence to their apps. Every topic is explained step by step with practical examples. Written by J.D Gauchat, author of Swift for Masterminds, SwiftUI for Masterminds, and HTML5 for Masterminds. Updated for iOS 27.

With this book, you will learn:

How artificial neural networks work

How Apple Intelligence works

How to implement Apple’s on-device and Private Cloud Compute models in your applications

How to recognize text, faces, bodies, hands, and objects with the Vision framework

How to transcribe, analyze, and synthesize speech

How to make your app’s features available to Siri AI

How to access OpenAI models to incorporate ChatGPT-level intelligence into your apps

How to train your own models with Create ML

How to build a neural network from scratch and train it with the MLX framework

and more!

Content by Chapter:

Chapter 1 - Apple Intelligence

Introduction to Artificial Intelligence

Artificial Neural Networks

Model Architectures

Apple Models

Chapter 2 - Foundation Models Framework

System Language Model

Private Cloud Compute Language Model

Usage Limitations

Streaming

Guided Generation

Dynamic Schemas

Tool Calling

Dynamic Profiles

Chapter 3 - Text Models

Language Recognizer

Tokenizer

Tagger

Embeddings

Chapter 4 - Vision Framework

Image Classification

Barcode Detection

Text Recognition

Document Recognition

Face Detection

Body Detection

Hand Detection

Person Segmentation

Object Segmentation

Chapter 5 - Audio Models

Sound Processing

Speech Analyzer

Voice Synthesizer

Sound Analysis

Chapter 6 - Siri AI

App Intents

App Shortcuts

App Entity

App Schemas

Chapter 7 - Additional Models

Create ML

Core ML

OpenAI

Cloudflare

Chapter 8 - Neural Networks

How Neural Networks Work

Network Architecture

Training Cycle

Forward Propagation

Error Functions

Back Propagation

Optimization

Training

MLX Framework

Ready for Xcode 27, macOS Golden Gate, iOS 27, iPadOS 27

Apple Intelligence for Masterminds 2nd Edition

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