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Apple Intelligence for Masterminds: How to Create Intelligent Applications for iPhones, iPads and Macs
Paperback
Publisher Price: $44.95
ISBN13: 9781777978280
Publisher: John D Gauchat
Published: Jan 2 2026
Pages: 474
Weight: 1.80
Height: 0.95 Width: 7.00 Depth: 10.00
Language: English
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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