Tom Merritt
speaker
2,109 appearances
15 recordings
1 series
first heard Mar 2026
last heard 12 Aug
Tom Merritt’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 15 in all, peaking in May 2026 with 4.
Appearances
And that's why I'd throw in something like retrieved uh retrieval augmented generation or rag.
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Uh that is gonna make a bigger difference than which model, honestly.
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Because what you're what you do with rag is you say, I want it to use my data, right?
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If you're doing analytics, you you want it to use your data, go
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take my data, retrieve it, and then implement it.
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in your answers.
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Um
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Th there's a lot that's way more complicated than that, way beyond my pay grade in explaining it.
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But uh from from what I've read and what I've seen out there, that kind of thing is going to make a big difference, especially when you talk about like I want something tuned to my work.
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Um
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you're going to be able to take any of these models and do a rag implementation and have it tuned specifically to your work.
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So so look up that.
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Look up uh RAG, uh, and and then you can kind of just go with whatever one fits best in your workplace.
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If you're Google Cloud users, Google Workspace users, you might just want to go with Gemini, right?
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Because it's already fitting into your whole work system.
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And that's going to
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outweigh any of the other considerations on which ones they're different, especially because they keep evolving and keep getting better at all these other things.
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Yeah.
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Large language models are very, very much generalists too.
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Like what they're good at is I don't I mean, some of the companies want to tell you it's by design, and I think by design they're trying to nudge them in certain ways, but but the a lot of this stuff is just an emergent property of the way the algorithm works.
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