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I'm Nan to the top analysis of today's markets.

Michael, welcome back to ReelVision.

It's a delight to be your ash.

Well, it's a pleasure to have you here at the festival of learning.

For those who may not know, we're doing a follow-up to a show that we did that was spectacularly

successful on ReelVision. Where you came in, you talked about chat GPT and AI more generally.

I think we blew a lot of people's minds with that demonstration and now we're here to look

under the hood a little bit more deeply to talk about the mechanics of what makes AI tick.

Specifically, the kind of AI that GPT is, which is called an LLM, which is a large language model.

What I'll be doing during this talk is talking about how it works under the hood and also

dispelling some myths that I've seen propping up over and over again over the course of the

last couple of months. I've talked to a lot of people about GPT. A lot of people have been

using it. A lot of people have been really excited about it. But they're either using it in suboptimal

or in some cases outright wrong ways and they're attributing things to it that just aren't true

and that's impeding their ability to really capitalize on the abilities of this new technology.

So I'm going to show how it works, dispel those myths and the two will sort of feed into one

or the spell myths by showing how it works. With that said, let's dive right in.

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