![]() ![]() That way you have the option to return to iOS 16 if there are too many issues on the new OS.Īlso, you must have an iPhone XS or later to run iOS 17. However, if you only have your main phone or tablet available, make sure to back up your iPhone on iOS 16.5 (the latest version of iOS 16) before updating to iOS 17. The iOS 17 developer beta's issues could cripple your iPhone and make it difficult to use, disabling phone calls or text messages or making it extremely laggy. The Speech framework makes it easy to introduce custom vocabulary for speech recognition, so you can personalize your user experiences.What to know before you download the iOS 17 developer betaīecause the iOS 17 developer beta is an early prerelease version, the software could have bugs and other issues.Īgain, if you're thinking about downloading iOS 17, do it on a backup or secondary phone, if available. ![]() The Natural Language framework enhances understanding of multilingual text using new transformer-based embedding models. ![]() Use VisionKit to easily integrate Visual Lookup and subject-lifting experiences into your app. New APIs in the Vision framework provide advanced image segmentation, animal body pose detection, and 3D human body pose leveraging depth information. Creating a model to understand the content of images has never been easier with the addition of multilabel classification, interactive model evaluation, and new APIs for custom training data augmentations. Use the Create ML app or framework to build custom models on top of Apple’s latest visual feature extractors for images and multilingual transformer-based embeddings for text. Weight pruning, quantization, and palletization utilities can be applied during model conversion or while training your model in frameworks like PyTorch to preserve accuracy during compression. Use the new Core ML Tools optimization module to help compress and optimize your models for deployment on Apple hardware. ![]() The new Async Prediction API simplifies the creation of interactive ML-powered experiences and aids in maximizing hardware utilization. Updates to the Core ML framework bring even faster model loading and inference. ![]()
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