Introduction

0:00 Like how can you call just prompting, typing out sentences, it doesn't feel like you're doing any work. It's not a big deal. But actually, as I've been looking at people at my own company and now 500 people plus, right? Some of them work very closely with AI. Some of them don't use AI. I've just seen that the difference between somebody who can communicate what they want very very clearly to an AI knows how all these models are very different from each other and that [music] different prompt patterns give you different outputs.

0:22 I can now tell the kind of people in the company who can consistently [music] create awesome stuff with or without AI and at the same time I can see the people who can't actually use AI to its maximum benefit. And strangely enough the people who are capable of using AI and do wonderful stuff are also very good managers. Right? So there is some overlap between the skill of a manager and a prompt engineer. [music] And what I wanted to do is I actually want to make two videos.

0:44 This is the first one on how you can think about two different topics, right? One is prompting, the other one is writing. But this video I want to do about how to prompt. So if you are thinking about generating text, watch this video because I'll tell you a lot of what I figured out with prompting. Quick shout out to today's sponsor, which is Intel. I'm going to show you all these prompts on an AI PC powered by Intel Core Ultra processors because the thing is today it doesn't really matter if you're using, you know, the best model in the world or an open source model.

1:28 I feel that good prompters will get used to each of these models. They're all slightly different from each other. The way you would prompt GPT is different from the way you' prompt Kimmy is different from the way you'd prompt Gemini. So, we're going to try showing you as many prompts that are generalized across all the models and then maybe one or two examples of specific ideas. A lot of prompting, and we'll cover this