Introducing Apple’s On-Device and Server Foundation Models
Jun 10, 2024 · 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
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.
Hey Siri: An On-device DNN-powered Voice Trigger for Apple’s …
Oct 1, 2017 · This article concentrates on the part that runs on your local device, such as an iPhone or Apple Watch. In particular, it focusses on the detector: a specialized speech recognizer which is always listening just for its wake-up phrase (on a …
Towards a World-English Language Model - Apple Machine …
At the 2024 Worldwide Developers Conference, we introduced Apple Intelligence, a personal intelligence system integrated deeply into iOS 18, iPadOS 18, and macOS Sequoia.
OpenELM: An Efficient Language Model Family with Open Training …
We also release code to convert models to MLX library for inference and fine-tuning on Apple devices. This comprehensive release aims to empower and strengthen the open research community, paving the way for future open research endeavors.
Deploying Attention-Based Vision Transformers to Apple Neural …
Jan 5, 2024 · This year at WWDC 2022, Apple is making available an open-source reference PyTorch implementation of the Transformer architecture, giving developers worldwide a way to seamlessly deploy their state-of-the-art Transformer models on Apple devices.
Federated Evaluation and Tuning for On-Device Personalization: …
Federated Evaluation and Tuning for On-Device Personalization: System Design & Applications. Authors Matthias Paulik, Matt Seigel, Henry Mason, Dominic Telaar, Joris Kluivers, Rogier van Dalen, Chi Wai Lau, Luke Carlson, Filip Granqvist, Chris Vandevelde, Sudeep Agarwal, Julien Freudiger, Andrew Byde, Abhishek Bhowmick, Gaurav Kapoor, Si Beaumont, Áine Cahill, …
Research - Apple Machine Learning Research
Apple Intelligence Foundation Language Models content type paper | Published year 2024 DataComp-LM: In Search of the Next Generation of Training Sets for Language Models
Announcing the 2024 Apple Scholars in AIML
Mar 11, 2024 · Apple is proud to announce the 2024 recipients of the Apple Scholars in AIML PhD fellowship. We are committed to supporting the academic research community by amplifying emerging leaders in their field and their cutting-edge machine learning research.