AI?

Apple presented several advancements in AI and machine learning at WWDC 2024, primarily under the umbrella of "Apple Intelligence." Here are some key points:

1. Apple Intelligence:

   • Apple Intelligence is a personal intelligence system that integrates generative AI models into iOS, iPadOS, and macOS. It helps in understanding and generating language and images, and assists users in taking actions with a rich awareness of personal context. It is designed with privacy and security from the ground up (Platforms State of the Union).
   • It includes an on-device semantic index to organize personal information from across apps and an app intents toolbox to understand app capabilities and take actions on behalf of the user (Platforms State of the Union).

2. Machine Learning Frameworks:

   • Apple offers built-in machine learning frameworks that provide intelligence capabilities across various categories, including natural language processing, sound analysis, speech understanding, and vision intelligence. The vision framework has a new Swift API this year (Platforms State of the Union).
   • Developers can use Create ML to bring in additional data for training and can also import and run on-device AI models such as large language or diffusion models developed elsewhere (Platforms State of the Union).

3. Core ML:

   • Core ML has new features to help efficiently deploy and run machine learning and AI models on-device. These include adopting ML tensor to simplify model integration, improving inference efficiency, and utilizing new performance tools to profile and debug models (Deploy machine learning and AI models on-device with Core ML).

4. Generative Tools:

   • Apple has optimized models for inference performance and efficiency using technologies like speculative decoding, context pruning, and group query attention. These optimizations are tuned to get the most out of the neural engine (Platforms State of the Union).

5. Research and Open Source:

   • Apple continues to push the boundaries in machine learning and AI research, publishing hundreds of papers and making sample code, datasets, and research tools like MLX available via open source (Explore machine learning on Apple platforms).

Relevant Sessions

1. Platforms State of the Union
2. Explore machine learning on Apple platforms
3. Deploy machine learning and AI models on-device with Core ML

These sessions provide a comprehensive overview of the advancements and tools available for integrating AI and machine learning into apps on Apple platforms.