OpenAI and Ex-Shopify Product Lead Reveals How He Builds AI Products | Miqdad Jaffer

Channel: Peter Yang

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Duration: PT2031S

Read a transcript preview of “OpenAI and Ex-Shopify Product Lead Reveals How He Builds AI Products | Miqdad Jaffer” from Peter Yang, uploaded on 2024-07-28.

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Language: English (original, YouTube automatic captions)

[0:00] so when you build normal consumer

[0:01] products you have goals you have a path

[0:04] you have some requirements you have an

[0:06] estimate and then you kind of work

[0:07] throughout that and then you work on the

[0:08] edge cases in case there are any to be

[0:10] able to to narrow in on but there is a

[0:12] deterministic path toward doing it in a

[0:14] non-determinate system it's very hard to

[0:16] predict what the error cases are going

[0:17] to be and it's very hard to plan for

[0:20] every Edge case along the way to try to

[0:22] defend against it so the first thing

[0:24] that we had to do was assume that

[0:27] everything that we possibly thought

[0:28] would go wrong will go wrong we don't

[0:30] want the AI to do something without the

[0:33] merchant knowing that thing is happening

[0:36] how do we push everything in front of

[0:37] the user in a way that they can review

[0:39] they can look over and they maintain

[0:41] full control so that this is

[0:43] augmentation not Automation and that

[0:45] that's kind of where we started with a

[0:46] lot of our thinking on this and what

[0:48] made that unique is the way that we

[0:50] build is not through like one use case

[0:52] at a time in some cases it's like a data

[0:54] set at a time of like this is what we

[0:56] need to be able to like understand this

[0:57] is the problem space that we need to

[0:59] understand and there are different ways

[1:00] to approach it you can find two and you

[1:02] can do something from retrieval

[1:04] augmented generation and then you can do

[1:05] something just on General prompting but

[1:07] each approach has pros and cons to it so

[1:09] like being able to balance and evaluate

[1:11] on an ongoing basis while knowing that

[1:13] your evalu

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