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I think the whole reason AI has become what it has is because these are “brute force” things you can’t do with a normal CPU. So functional programming and massively parallel algorithms are what make it possible.

Every year it gets more accessible to a wider audience. Soon there will probably be frameworks that hide the complexity completely and you can just say here’s a massive dataset, I want to train it to be a conversation bot or cat pic classifier, go. But we’re not quite there yet.






i believe OP would, for example, want to start training locally just to check for errors, then do the run somewhere remote.

Synchronizing local and remote code shouldn't take much time, but it's still at least a few seconds on the critical path for the run->fail->fix->rerun loop.

VSCode's remote mode might be a worth a try for people with such a setup.




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