Llm at wwdc25

At WWDC 2025, Apple introduced several advancements related to large language models (LLMs) and machine learning. One of the key highlights was the introduction of the Foundation Models framework, which allows developers to use Apple's models and get responses in plain text or as structured Swift Data. This framework is part of Apple's broader initiative to integrate intelligence into their platforms, enhancing user experiences across devices.

Additionally, the session titled "Explore large language models on Apple silicon with MLX" focused on how MLX is optimized for running large language models on Apple Silicon. This session demonstrated how developers can perform inference and fine-tune massive models directly on their Macs using MLX, which is an open-source library designed for machine learning on Apple Silicon. It utilizes Metal for GPU acceleration and supports multiple programming languages, including Python and Swift.

For more detailed insights, you can explore the session Explore large language models on Apple silicon with MLX (00:00:00) which covers the introduction and capabilities of MLX for LLMs.