Ryland M Bacorn

speaker
544 appearances 4 recordings 1 series first heard Nov 2025 last heard 20 Nov

Ryland M Bacorn’s voice in public audio — every appearance, attributed to the second.

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recordings per month · last 12 months
4 · Nov OctJan 26AprJulnow

Recordings per month over the last 12 months — 4 in all, peaking in Nov 2025 with 4.

Appearances

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So basically prehistory at this point.
There's other models too that are good at analyzing SERPs, the keyword coverage against your on-page optimization, like multi-QA, MPNet-based something.
There's a lot of versions there.
These are the models that I typically go to.
Each model is going to have a slightly different application.
And the other thing that's cool is this is a little bit going beyond what we're talking about here is that you can build on other models.
Like that's the area that I'm exploring now is you can start off with like a pretty small model that's doing what you need.
It's cost efficient with your tokens.
The output is looking good and you fine tuned it to, you know, this is exactly what I'm looking for.
And then you can bring in your own data and build a model on top of that.
We're not going to talk about that here, but the possibilities are really endless.
It's the sentence transformer models that I spend most of my time in.
These are all available on Hugging Face.
So thinking about the model that you're going to use, it sounds daunting to people who are just getting started in this space.
Really, it just comes down to like, what's your application?
And we didn't even talk about like audio, video, imaging.
There's all those models that are useful there too, like
didn't touch on that at all.
Like Google's nano banana, for instance, is great for the selfies that everybody's been producing lately.
So model is an important part of the concept, but don't get intimidated.
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