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- Introducing Apple’s On-Device and Server Foundation Models
The Apple foundation models and adapters introduced at WWDC24 underlie Apple Intelligence, the new personal intelligence system that is integrated deeply into iPhone, iPad, and Mac, and enables powerful capabilities across language, images, actions, and personal context
- Apple Intelligence Foundation Language Models Tech Report 2025
The latest advancements in Apple Intelligence models are grounded in our Responsible AI approach with safeguards like content filtering and locale-specific evaluation, as well as our commitment to protecting our users’ privacy with innovations like Private Cloud Compute
- Updates to Apple’s On-Device and Server Foundation Language Models
We’re excited to make the language foundation models at the core of Apple Intelligence more efficient and more capable, unlocking a wide range of helpful features integrated across our software platforms, and available to our users around the globe across many languages
- Apple Intelligence Foundation Language Models
We present foundation language models developed to power Apple Intelligence features, including a ∼3 billion parameter model designed to run efficiently on devices and a large server-based language model designed for Private Cloud Compute
- Overview - Apple Machine Learning Research
Apple machine learning teams are engaged in state of the art research in machine learning and artificial intelligence Learn about the latest advancements
- Understanding Aggregate Trends for Apple Intelligence Using . . .
In this post, we’ll share how we’re developing new techniques that enable Apple to discover usage trends and aggregated insights to improve features powered by Apple Intelligence, without revealing individual behavior or unique content to Apple
- Research Highlights - Apple Machine Learning Research
Apple researchers are advancing machine learning (ML) and AI through fundamental research that improves the world’s understanding of this technology and helps to redefine what is possible with it
- The Illusion of Thinking: Understanding the Strengths and Limitations . . .
We also investigate the reasoning traces in more depth, studying the patterns of explored solutions and analyzing the models’ computational behavior, shedding light on their strengths, limitations, and ultimately raising crucial questions about their true reasoning capabilities * Equal contribution † Work done while at Apple
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