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

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

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So picking a model is an important decision.

There are, I don't know, a thousand, maybe a hundred thousand models and they keep releasing one all the time.

So like one of the ones that I always use, it's in the tool that I built on Hugging Face is the all mini LM L6V2 or whatever.

It's like a base model that I use for everything.

It's great for prototyping, super small.

The output's going to be okay.

So this is the model that helps you build things and figure out the proof of concept.

But then, like, so say, for instance, you have an international client, multilingual client, you want to use something more like LABSA.

like language agnostic, basically.

So this is a multi-parity tool.

This gets into the, you know, EMEA.

It does an okay job on the Asian languages.

I haven't had those use cases yet, but there's obviously significantly larger models that you can use.

OpenAI has many models.

They have the text embedding three small for, you know, other small, fast, cheap things.

But then they also have the large model that's better for, you know, higher fidelity, a lot more fine-grained semantic matching.

So things like query to content scoring or internal linking similarity, those are things that are really important.

Gemini has, there's a whole host of models that you can get with Gemini.

The gem embeddings is one that I haven't played enough of with.

I know that's been around for a month now.

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