koher

Foundation Models

At WWDC 25 Apple opened up the on-device large-language model that powers Apple Intelligence to every iOS, iPadOS, macOS and visionOS app via a new “Foundation Models” framework. The model is a compact ~3 billion-parameter LLM that has been quantized to just 2 bits per weight, so it runs fast, offline and entirely on the user’s device, keeping data private while still handling tasks such as summarization, extraction, short-form generation and structured reasoning. ([developer.apple.com][1], [machinelearning.apple.com][2]) Below is a developer-focused English-language overview—based mainly on Apple’s own announcements, docs and WWDC sessions—followed by ready-to-paste Swift code samples.

1. What Are Apple’s On-Device Foundation Models?

Apple ships two sibling LLMs: a device-scale model (~3 B params) embedded in Apple silicon and a server-scale mixture-of-experts model that runs inside Private Cloud Compute when more heft is required. ([machinelearning.apple.com][2]) The

DabbyNdubisi

import SwiftUI
import UIKit
import Foundation

// MARK: - AllowedNavigationDismissalGestures

public struct AllowedNavigationDismissalGestures: OptionSet, Sendable {
    public let rawValue: Int
    
    public init(rawValue: Int) {

stefanvangastel

var appDirectives = angular.module('appDirectives', []);

/**
* Add potential validation fields to form-control form elements (CakePHP 3 with Bootstrap)
*
* Requirement: $scope.errors contains option (validation) errors in default CakePHP 3 JSON response
*/
appDirectives.directive('formControl', function($compile) {
    return {
        restrict: 'C', //Match all elements with form-control class