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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Voices of Search // A Search Engine Optimization (SEO) & Content Marketing Podcast · Working w/Embeddings & Building Your Own Code · 17 Nov 2025 podcast

That's where the prompt engineering comes in.

And if you haven't had anybody on prompt engineering, I definitely recommend that.

Getting into the space and just playing with it, that's really it.

You just have to install stuff and do free trials.

I'll talk a little bit about that.

Yeah.

So embeddings, they're just a type of vector.

Vector is just a string of numbers, multidimensional, which at first when I was introduced to this concept several years ago, it's like multidimensional space just kind of makes my head hurt.

Fun fact, like obviously we're only seeing 2D right now, but as three dimensional beings, we can only see 2D.

And if we were in 2D, we'd only see like lines.

We'd only see one dimension.

Yeah.

So just kind of get past that whole concept.

But embeddings are vectors that are expressed in multidimensional space.

And these are things that basically they help machines understand words and sentences and documents.

And, you know, we're not going to talk about images and videos, but it's getting into that space as well.

So it's a mathematical representation of a sentence or concepts.

So one of the classic examples that is always shared is the queen-king example, where you have a 3D chart and you have king and then queen, and then you have man and woman.

So if you take king, you subtract man, add woman,

and then you'll ultimately get queen.

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