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-: This lesson is all about the OpenAI Playground.

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So let's jump right in.

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Here, if you search for the OpenAI Playground,

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you will find the playground for OpenAI.

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platform.openai.com/playground.

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Now the default mode is Assistants,

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which is arguably the most exciting use case

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for the Playground.

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But let's go ahead and start here at this legacy version

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to go over all the different features

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that are available here in the Playground.

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Here in the legacy version,

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this used to be where you would go

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if ChatGPT was having trouble

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or you're running out of messages, or having some errors.

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The Playground was the place where you would go

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to continue using ChatGPT within a different interface

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that would usually sidestep the errors

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that you could get in the conventional interface.

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So here, you can use ChatGPT

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just like you would in the other interface.

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It says, "Write a tagline for an ice cream shop."

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Sure. So we're gonna go ahead and hit Submit.

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And here, we have our answer.

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"Scoops of happiness in every cone!"

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So this is just another interface where you can use ChatGPT.

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We select the different models here,

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and we can go ahead and tweak ChatGPT even further

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with this bar here on the right.

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So you have a little bit more control over the length,

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the temperature,

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and these different frequency, and presence penalties here.

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You're able to share here.

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You can view the code here, and you can save here.

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Let's go ahead and jump into Chat mode.

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This is a more user-friendly-looking chat interface

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where you type in a query here,

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and you'll get a response here.

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Please write me a recipe for a breakfast burrito.

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We're gonna go ahead and hit Submit.

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And here, we have our recipe.

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So this is, again, like using ChatGPT.

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The general system prompt here

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is that you are a helpful assistant.

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Of course, you can change this

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and give it some more specific parameters.

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You are a head chef at a restaurant.

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Now let's go ahead and ask this question again.

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So here, we have a slightly upgraded version of our recipe.

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Now, finally, we can jump over to the Assistant.

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This here is the most exciting use case,

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but also the most in-depth.

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This is similar to creating a custom GPT,

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just a little bit more advanced.

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Here, you create the name

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of the assistant you're trying to create,

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and then you give it its set of custom instructions.

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You select the different model here that you want to use,

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and then you can add different functions.

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Let's say a Code interpreter, Retrieval,

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and you can upload some custom data here.

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If you wanna test your Assistant,

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let's go ahead and type in a query here.

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So the Assistant here is creating images

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from a video script.

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So let's go ahead and paste in an example video script here.

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Hit Run, and we see that I had instructions labeled one,

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two, and three, and we are running these instructions

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to get our answer.

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Now this GPT was to create image prompts based on a script,

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and here we have it.

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We have four different image prompts

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that are based on the script that I uploaded,

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that we can use to put in a image generator

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like Midjourney or even OpenAI's DALL-E.

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This menu bar on the left lets you click from Playground

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to Assistants, Fine-tuning, API keys, Files, Usage,

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which has to do with how many API calls you've made.

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And Organization, can go into Teams,

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Limits, Billing, Profile,

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and some Documentation here on the bottom.

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You can click onto all products,

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check out your personal information, even log out,

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and ask for help,

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which will prompt a little Help menu here on the right.

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Basically, you'll use this bar here on the left

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if you need to update your billing,

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if you want to update your usage,

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if you want to set limits on your usage

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to make sure that you don't spend too much money

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on your API calls.

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And if you're unfamiliar, if you use the OpenAI API,

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basically, it costs you a little bit of money

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every time you use it.

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So I encourage setting a limit to make sure

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that you don't spend more than you were looking to.

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We will do a deep dive into the Playground

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and all of its features in future lessons to come.

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I just wanted to do a quick overview

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so you can see what's available to you.