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My reading of it is: - Core ML is for models designed only for Apple platforms - MLX is for models that don't need to be fast - Core AI is for models that ru
by LoganDark 5mo ago
My reading of it is:
- Core ML is for models designed only for Apple platforms
- MLX is for models that don't need to be fast
- Core AI is for models that run everywhere already and also need to be fast
- wahnfrieden 5mo agoI use CoreML for models designed for other platforms. I port the models to it but it works for that without much trouble. MLX is not for end user deployment.
- jkman 5mo agoThis view is a bit off. First, keep in mind that MLX was and will not be able to access the ANE, so it's a total non-starter for anything user-facing. Based on updates to coreml docs, they're trying to sell CoreML as the tool for tabular or domain-specific applications and CoreAI for NNs moving forward.
- LoganDark 5mo ago> keep in mind that MLX was and will not be able to access the ANE That's the rationale behind it not being fast. > so it's a total non-starter for anything user-facing Yep.