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Training SVMs on High-Dimensional Embeddings: Performance and Practical Considerations

yeah 😀 it's not as bad as it sounds, e.g. using the example in the notebook, training an SVM on ~10K 1536D embeddings is ~1 second. Sometimes it's possible to precompute. And sometimes it's just not worth it, all depends on setting / application.

→ View original post on X — @karpathy,

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