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Apple Intelligence for Masterminds : How to Create Intelligent Applications for iPhones, iPads and Macs - J D Gauchat

Apple Intelligence for Masterminds

How to Create Intelligent Applications for iPhones, iPads and Macs

By: J D Gauchat

Paperback | 2 January 2026

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Learn how to harness the power of Apple Intelligence to build truly intelligent applications for iPhones, iPads, and Macs. This book is a practical, in-depth guide for developers who want to move beyond experimentation and integrate artificial intelligence into real production apps with confidence.

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!

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

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