Mark Osborne explains how to build synthetic personas that make AI models smarter. Feed real customer conversations or generic prompts into your model so it learns to understand your actual target segments instead of guessing.
One of the things that we do is we will build sort of like synthetic datasets or like synthetic personas of a particular customer group or customer segment that we're trying to go after. But it can give you sort of a generic off-the-shelf if I just say act like this type of person and give it enough stuff. Or if you've been capturing phone transcripts from conversations with prospects and specific customers, that fit within this persona, then you can feed it the actual transcripts, and then it starts to really understand what the persona is of that.
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