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Learn how you can run a powerful Large Language Model (LLM) directly on-device with iOS 26 and macOS 26. We'll cover the massive advantages of this approach, including enhanced user privacy and improved performance, since you don't need to make external server calls for every query. Join me as I walk you through the essential requirements and a live coding demo in Swift and Xcode 26. You'll see just how easy it is to generate creative text and even give the AI custom instructions to make it speak like a pirate! 💻 In This Tutorial, You'll Learn: What Apple's Foundation Models are and how they work. The key benefits of on-device AI (Privacy & Performance). The hardware and software you need to get started (macOS 26, Xcode 26, Apple Silicon). A step-by-step Swift code walkthrough. How to generate a response from the model. How to add custom instructions to change the AI's personality. ✅ Requirements to Follow Along: OS: macOS 26 ("Tahoe") or later IDE: Xcode 26 or later Mac: Any Mac with an Apple Silicon chip (M1, M2, M3, M4, or newer) Deployment Device: iPhone 15 Pro / Pro Max (or newer) or an iPad with an M1 chip (or newer) Note: Apple Intelligence must be enabled for your device and region. TIMESTAMPS: 0:00 - Introduction to Foundation Models 0:22 - The #1 Advantage: Privacy & Performance 1:08 - System Requirements: What You Need to Get Started 1:45 - On-Device Requirements (iPhone & iPad) 2:28 - Let's Code: A Simple Swift Implementation 3:05 - Demo: Generating a Short Story 4:55 - Adding Custom Instructions to the Model 6:20 - The "Pirate Cat" Result! 7:00 - Final Thoughts & Wrap Up If you're excited about the future of AI in Apple development, make sure to hit the like button, subscribe for more videos, and let me know in the comments what you plan to build with Foundation Models! #FoundationModels #AppleIntelligence #OnDeviceAI #Swift #iOSDev #Xcode #LLM #WWDC #AppleDeveloper #SwiftUITutorial