Jordan Wilson

speaker

35,089 appearances 78 recordings 1 series first heard Jun 2026 last heard yesterday

Jordan Wilson’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 — 78 in all, peaking in Jul 2026 with 23.

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Everyday AI Podcast – An AI and ChatGPT Podcast · Ep 867: 2026 LLM Cheat Code: 10 Essential Steps To Get the Most out of Any AI Chatbot (Start Here Series Vol 26) · 22 Sep 2026 podcast

All right. voice-verified

And a lot of times the first prompts, the first pieces of information you give a model are oftentimes the most important. voice-verified

It's where you give it direction. voice-verified

So voice-verified

The difference between a context window voice-verified

Or understanding how context works in a hard drive is if you try to save a two gigabyte file on a full hard drive, it's just gonna say, nope, can't do it, no room. voice-verified

All right. voice-verified

A large language model is gonna do it and it's just gonna kick off something and you have no clue. voice-verified

So working with voice-verified

Relevant, accurate business context is one of the most important things to do when working with a large large language model, because essentially large language models get data from one of three places. voice-verified

Number one, their internal training data, which for the most part is very, very old. voice-verified

Uh number two, any of your company data that you share. voice-verified

That can be, you know, apps, connectors, your file memory, chat history. voice-verified

You know, there's essentially a layer of your uh, you know, personal context, company context, you know, your all your SaaS apps that you use, right? voice-verified

And then there's the web. voice-verified

All right, so you have to understand that there's now this context layer that didn't really exist before, right? voice-verified

It used to just be the training data. voice-verified

And keep in mind, training data is usually really old. voice-verified

There's a knowledge cutoff date, but I would venture to guess the overwhelming majority, like 99% of the data that actually ends up in today's large language models is nowhere close to that date. voice-verified

So, you know, let's just say if there wasn't voice-verified

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