8 articles tagged
Apple open-sourced the Foundation Models framework utilities in 2026: Skills for just-in-time context, three history-compaction modifiers, and a chat completions client that points LanguageModelSession at any server
A practitioner's comparison of Google TabFM against XGBoost and LightGBM: how the zero-shot tabular model works, what TabArena shows, cost and deployment trade-offs, and a 2026 decision guide.
At WWDC 2026 Apple shipped Xcode 27 with on-device AI completion, agentic coding and a Device Hub, plus Swift 6.4 with anyAppleOS and async defer. Here is what matters for iOS developers.
Building production AI agents taught three lessons the hard way: reliability comes from architecture, the model layer is a commodity you will swap, and evaluation is most of the work. Apple's third-generation Foundation
Five engineering field notes from building AI features against the iOS 27 betas: the 4,096-token on-device context window, the device split, the Evaluations framework, native tools, and a moving beta target.
iOS 27 turned the iPhone into an agentic platform for developers. Here are seven capabilities you can build on in 2026, from App Intents and Foundation Models to Core AI and the Passwords API, plus the one deprecation
Apple's Foundation Models framework runs a ~3B on-device model in iOS 27. Here is the Swift protocol pattern that lets you swap to Claude or Gemini with a single line of code.
At WWDC 2026 Apple introduced Core AI, the on-device successor to 2017's Core ML, and expanded the Foundation Models framework. Here are five changes iOS 27 brings for Swift developers.
