How do Apple platforms work with Deep Seek
Generated on 2/17/2025
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Apple platforms work with Deep Seek by leveraging machine learning and AI capabilities that are integrated into the operating systems and developer tools. Apple provides a range of APIs and frameworks that allow developers to create intelligent features without directly handling the models. For instance, the Vision framework offers capabilities like text extraction, face detection, and body pose recognition, which can be integrated into apps using Swift APIs.
Additionally, Apple supports the deployment of machine learning models on its devices through a structured workflow. This involves defining the model architecture, training the model using libraries like PyTorch or TensorFlow, converting the model into Core ML format, and optimizing it for Apple Silicon. Developers can then integrate these models into their apps using Apple's frameworks, such as Core ML, MPS Graph, and BNNS Graph APIs.
For more detailed information on how to integrate machine learning on Apple platforms, you can refer to the session Explore machine learning on Apple platforms (00:03:54).
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