MIlan Todorović
Harnessing Apple Intelligence: Live Coding with Swift for iOS
#1about 2 minutes
Introducing Apple Intelligence and its privacy-first approach
Apple Intelligence unifies all of Apple's AI frameworks under a single name, emphasizing on-device processing to protect user privacy.
#2about 6 minutes
Exploring Apple's core machine learning frameworks
A tour of key Apple frameworks like Core ML, Vision, NLP, and Create ML shows how they enable on-device machine learning capabilities.
#3about 4 minutes
Understanding the capabilities of Apple Intelligence
Apple Intelligence introduces powerful system-wide features including writing tools, image generation, an enhanced Siri, and the game-changing App Intents framework.
#4about 12 minutes
Live coding an on-device LLM app with Swift
Build a simple iOS application from scratch using Swift, SwiftUI, and the new Foundation Models framework to interact with an on-device LLM.
#5about 1 minute
Using the on-device model for text extraction
A practical demonstration shows how the on-device LLM can perform complex tasks like extracting specific entities, such as personal names, from a large block of text.
#6about 4 minutes
Exploring the Foundation Models documentation and opportunities
A review of the official documentation highlights how to configure and use the LanguageModelSession, followed by encouragement for developers to harness these new AI capabilities.
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Jobs that call for the skills explored in this talk.


AIML -Machine Learning Research, DMLI
Apple
Zürich, Switzerland
Python
PyTorch
TensorFlow
Machine Learning
Natural Language Processing


Machine Learning Engineer, Global Siri
Apple
Barcelona, Spain
Python
PyTorch
TensorFlow
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AIML - Machine Learning Research (Speech), DMLI
Apple Firmenprofil
Aachen, Germany
Confluence
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AIML - ML Researcher, Foundation Models
Apple
Paris, France
Python
PyTorch
TensorFlow
Natural Language Processing




