Generative AI Models

Apple presented several advancements related to generative AI models at WWDC 2024. Here are some key points:

1. Apple Intelligence:

   • Apple has developed an on-device foundation model, a highly capable large language model, optimized to run efficiently on devices like iPhones. This model is fine-tuned for various tasks such as text summarization, proofreading, and generating mail replies (Platforms State of the Union).
   • For more advanced features requiring larger models, Apple extends its intelligence to the cloud with private cloud compute, ensuring user privacy (Platforms State of the Union).

2. Core ML:

   • Core ML now supports ML Tensor, which simplifies the integration and running of generative AI models on-device. This includes support for different decoding methods like greedy decoding and top-k sampling, which can influence the creativity and predictability of the generated text (Deploy machine learning and AI models on-device with Core ML).
   • Adapters are used to extend the functionality of large pre-trained models without adjusting their weights, allowing a single base model to be shared across multiple tasks (Deploy machine learning and AI models on-device with Core ML).

3. Metal:

   • Metal has introduced new features to improve the performance of transformer models, which are commonly used in language models to translate, predict, and generate text. These improvements include enhanced compute performance, memory bandwidth savings, and quality improvements (Accelerate machine learning with Metal).

4. Create ML:

   • Create ML has been enhanced to allow for easier customization of machine learning models using natural language and sound analysis. This includes the ability to create models that can predict content in images, videos, and tabular data (What’s new in Create ML).

Relevant Sessions:

1. Platforms State of the Union
2. Deploy machine learning and AI models on-device with Core ML
3. Accelerate machine learning with Metal
4. What’s new in Create ML

These sessions provide a comprehensive overview of the advancements in generative AI models and their deployment on Apple devices.