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 months
4 · May OctJan 26AprJulnow

Recordings per month over the last 12 months — 15 in all, peaking in May 2026 with 4.

Appearances

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And that's why I'd throw in something like retrieved uh retrieval augmented generation or rag. matched
Uh that is gonna make a bigger difference than which model, honestly. matched
Because what you're what you do with rag is you say, I want it to use my data, right? matched
If you're doing analytics, you you want it to use your data, go matched
take my data, retrieve it, and then implement it. matched
in your answers. matched
Um matched
Th there's a lot that's way more complicated than that, way beyond my pay grade in explaining it. matched
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. matched
Um matched
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. matched
So so look up that. matched
Look up uh RAG, uh, and and then you can kind of just go with whatever one fits best in your workplace. matched
If you're Google Cloud users, Google Workspace users, you might just want to go with Gemini, right? matched
Because it's already fitting into your whole work system. matched
And that's going to matched
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. matched
Yeah. matched
Large language models are very, very much generalists too. matched
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. matched
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