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by svnt 1306 days ago
> How does the model know when a human has to take over?

It’s incredibly easy, you ask “did this answer solve your issue?” and add a max_tries.

> … how do you know how much training data to generate …?

You don’t, you keep doing it until the results improve to meet your goals, or they stop short and you switch tactics.

1 comments

That will work incredibly well for the self-driving AI cars that lost control at speed. /sarcasm Not all problems in life have the opportunity to be retried more than once.
You are maybe not thinking flexibly enough.

That’s why they have a fleet (parallelization) and why they outfitted the cars with sensors before self-driving was a thing (so they could simulate decision-making and have it corrected by driver action).

Their customers’ feedback absolutely trained their models.