Exploring AI for iOS Development

Please note: This book is currently in beta and under active development. More chapters will be added soon!

This book starts as a practical guide for iOS, macOS, and visionOS developers in integrating AI models directly into their apps using Apple's MLX Swift framework.

We explore building on-device-AI-powered apps on Apple platforms:

- Introduction to MLX: Understanding the fundamentals of the MLX framework and its role in the Apple ecosystem

- Getting Started with MLX Swift: Setting up your development environment and running your first MLX Swift code.

- Working with Pre-Trained Models: Using existing open-weights models available for different tasks.

- Model Quantization: Techniques to make large AI models smaller and faster, optimizing them for on-device performance.

- Text Embeddings: Utilizing models to understand the semantic meaning of text for tasks like search and comparison using MLX Embedders.

- Customizing Generation: Fine-tuning parameters like temperature and top-k to control the output of generative models.

- Vision-Language Models: Integrating models capable of understanding and describing image content.

- MLX Swift Tools: Exploring utilities designed to help with development with MLX Swift.

- Tool Use with Models: Enabling language models to interact with external tools and APIs.

If you are an Apple platform developer curious about adding on-device AI capabilities to your projects, this guide is here to help you.

Let's explore the possibilities of on-device AI together!

Currently open for pre-order. Buy now to support my work or follow along this the final release before WWDC 2025! (And free incremental releases after WWDC 2025)

Use the code "STUDENT" for a flat 50% off or if the cost of the book is too high for you!