Sander Schulhoff
speaker
947 appearances
1 recordings
1 series
first heard Jun 2025
last heard Jun 2025
Sander Schulhoff’s voice in public audio — every appearance, attributed to the second.
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Appearances
And honestly, this can help you think through the thing as well, which is half the power a lot of the time.
Uh and then you can ask it to each solve each of those subproblems one by one, and then use that information to solve the main overall problem.
Uh and so again, you can implement this just in a conversational setting or a lot of folks uh look to implement this as part of their kind of product architecture.
Uh and it'll often boost performance uh on kind of whatever their downstream task is.
I do distinguish them.
Uh and I think with this example you'll see kind of why.
Okay, cool.
So a a great example of this is like uh I don't know like a a car
uh a car dealership chat bot and somebody comes to this chat bot and they're like hey um you know i i checked out uh this car uh on this date or or actually it might have been this other date uh and it was this type of car uh or actually it might have been this other type of car uh and anyways it has this small ding and I I want to return it.
Uh and what's your return policy on that?
And so in order to figure that out.
You have to like look at the return policy, look at like what type of car they had, when they got it, whether it's still valid to return, what the rules are.
Uh, and so if you just ask the model to do all that at once, it might kind of struggle.
But if you tell it, hey, what are all the things that meet need to be done first?
Um, just like kind of what a human would do.
Uh and so it's like, all right, I need to figure out.
I guess like, first of all, is this even a customer?
Uh and so go like run a database check on that.
Uh and then confirm what kind of car they have, uh, confirm what date they checked it out on, um, whether they have some kind of insurance on it.
So those are all the sub-problems that need to be figured out first.
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