Training & Benchmarking Adapters for the Apple Foundation Model Framework with Datawizz

Apple just announced a major AI update in iOS 26, macOS 26, and iPadOS 26 — giving developers access to local, offline Foundation Models for on-device inference. This means you can now build AI features that run entirely on-device, with no cloud, preserving user privacy and reducing latency and costs. But that’s just the beginning. In this video, we: - Explore how Apple’s Foundation Models Framework works for local inference - Benchmark Apple’s model against competitors like Llama 3B, Phi-3 Mini, and Gemma 2B - Introduce adapters — lightweight, task-specific layers you can train and load on …