Apple Intelligence Group Lab

Watch on Apple Developer

TL;DR

• Metadata-only page for an online Apple Intelligence group lab conducted in English during WWDC26.
• The lab is intended for developer questions, advice, and discussion with Apple engineers and designers.
• No transcript, chapters, code snippets, resources, or related videos are available in the provided metadata.
• Use this entry as a pointer to the Apple Developer lab page rather than as technical implementation guidance.

Overview

Apple Intelligence Group Lab is an online WWDC26 lab focused on the week's Apple Intelligence announcements. The session description positions it as a discussion and Q&A opportunity with Apple engineers and designers, conducted in English.

What developers can use it for

• Ask questions about Apple Intelligence topics announced during WWDC26.
• Get advice from Apple engineers and designers in an online group-lab format.
• Follow broader discussion around the week's Apple Intelligence developer announcements.

Available material

The provided metadata does not include a transcript, chapters, code snippets, downloadable resources, Apple summary bullets, or related videos. Treat this as a lab listing, not a technical session with reproducible implementation steps.

Related sessions

• 232Run local agentic AI on the Mac using MLXBuild fully local agentic AI workflows on Mac with MLX-LM Server, OpenAI-compatible agents, continuous batching, and distributed inference.
• 233Explore distributed inference and training with MLXScale MLX inference and fine-tuning across multiple Macs with RDMA over Thunderbolt 5, JACCL, mlx.launch, and MLX LM.
• 237What’s new in image understandingUse Vision tap-to-segment, Foundation Models image inputs and image tool calling, and Vision on watchOS for richer app image understanding.
• 240Build intelligent Siri experiences with App SchemasUse App Entities, App Schemas, IndexedEntity, Transferable, and testing tools to make Siri understand app content, actions, and context.
• 241What’s new in the Foundation Models frameworkFoundation Models gains Private Cloud Compute, vision, model-provider abstraction, Dynamic Profiles, evaluations, CLI/Python tooling, and open source utilities.
• 242Build agentic app experiences with the Foundation Models frameworkUse DynamicProfile, DynamicInstructions, history transforms, lifecycle modifiers, and tool orchestration to build agentic Foundation Models app flows.