> lack of the path taken from one point to another limits your ability to train ... | Hacker News

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		sealeck 3 days ago \| parent \| context \| favorite \| on: Apple Foundation Models > lack of the path taken from one point to another limits your ability to train models that can efficiently recreate the work Isn’t this the problem inference (training) a model is designed to solve :)))
		help

jmalicki 3 days ago [–]

It is!

And it's a hard problem.

What's an easier form of training is being able to see the intermediate results and train to imitate them.

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