How can i enable generative ai in my app
Generated on 8/2/2024
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To enable generative AI in your app on Apple platforms, you can leverage several tools and frameworks introduced at WWDC 2024. Here are some key steps and resources:
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Use Pre-built Tools and APIs:
- Image Playground: Integrate image creation features effortlessly into your apps with a pre-built UI. This allows users to create and embed images without needing to train a model or design safety guardrails. The model runs locally on the device, so users can generate images without worrying about costs.
- Writing Tools and Genmoji: These tools help users rewrite, proofread, and summarize text, and create new emojis. If you use standard UI frameworks to render text fields, your app will automatically get writing tools. You can customize the behavior using the new
textview delegate API
.
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Integrate with Siri and App Intents:
- Siri Enhancements: Siri can now take hundreds of new actions in and across apps, leveraging new writing and image generation capabilities. You can expose your app's capabilities using app intents, which Siri can call to perform specific actions.
- App Intents Framework: This framework allows you to expose your app's capabilities to Apple Intelligence, enabling deeper integration into system experiences.
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Run Models On-Device:
- Core ML and MLTensor: Core ML allows you to integrate and run AI models on-device efficiently. The new
MLTensor
type in Core ML supports complex computations necessary for generative AI, making it easier to implement operations from scratch or use various low-level APIs. - Create ML: Use Create ML to train models with your data. The Create ML app now includes an object tracking template and new time series classification and forecasting components.
- Core ML and MLTensor: Core ML allows you to integrate and run AI models on-device efficiently. The new
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Utilize Apple's Machine Learning Frameworks:
- Natural Language Processing, Sound Analysis, Speech Understanding, and Vision Intelligence: These built-in frameworks offer a wide range of capabilities that you can tap into for your app's AI needs.
- Swift API for Vision Framework: This new API provides enhanced capabilities for image processing and analysis.
For more detailed guidance, you can refer to the following sessions from WWDC 2024:
- Explore machine learning on Apple platforms (Apple Intelligence)
- Deploy machine learning and AI models on-device with Core ML (Integration)
- Platforms State of the Union (Apple Intelligence)
These sessions provide comprehensive insights into integrating generative AI and other machine learning capabilities into your apps.
Explore machine learning on Apple platforms
Get started with an overview of machine learning frameworks on Apple platforms. Whether you’re implementing your first ML model, or an ML expert, we’ll offer guidance to help you select the right framework for your app’s needs.
Platforms State of the Union
Discover the newest advancements on Apple platforms.
Deploy machine learning and AI models on-device with Core ML
Learn new ways to optimize speed and memory performance when you convert and run machine learning and AI models through Core ML. We’ll cover new options for model representations, performance insights, execution, and model stitching which can be used together to create compelling and private on-device experiences.