So, last thing we looked at was that there are kind of two general ways of doing AI.
One is where you kind of look at situations where you have very restricted situations
and try to do deep analysis like humans can do it.
Whereas you can also use statistical methods to build very wide coverage solutions.
And the current state of the art is that if you have deep analysis you have to restrict
yourself to narrow situations where you have a limited vocabulary, a limited set of concepts,
but where you then can do deep analysis.
Or if you insist on having wide coverage, which means huge vocabularies, huge sets of
concepts, then you're going to only do shallow analysis.
Of course that's not what we want.
What we want is to reach humans.
We're not there yet.
I'm counting on you.
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00:01:45 Min
Aufnahmedatum
2020-10-26
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2020-10-26 09:56:59
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Recap: Ways to attack the AI Problem
Main video on the topic in chapter 3 clip 4.