Extending iOS Development with AI
summary
Shows how to build a self-hosted iOS development assistant using open LLMs so teams can keep privacy and tailor behavior to their own content and tasks. Covers preparing and fine-tuning the model, integrating it with Xcode extensions, and using the tool to speed up and simplify iOS/macOS development as an alternative to Apple/OpenAI integrations.
AI-written summary · about
chapters (10)
- 0:00Welcome
- 2:52What are LLMs
- 5:39AI services for iOS
- 11:58Apple Intelligence
- 15:33Building custom AI
- 24:06Model selection and deployment
- 27:59Xcode integration
- 31:08Prompting and fine-tuning
- 34:57Training on data
- 40:11Summary
related talks
24mPrivate AI at Home: Secure, Open-Source, and Fully Yours
34mNavigating AI assistant development
22mCore ML and Your App
58mPanel Discussion: AI- Friend or Foe?
34mKeynote: Building for AI at Scale: Infra, Integrity, & Innovation
15mAI Studio - Creating and scaling your custom copilots
23mShipping AI Features That Don’t Break in Production
33mKeynote: Fine-tuning our way towards openness in AI