While much focus in AI has been on optimizing input and generating concise outputs, a new model in Google's AI Studio dramatically expands output possibilities with a capacity of 65,000 tokens. This represents a significant shift, opening doors to new application scenarios, especially for developers and creators. This lesson explores a practical and immediately useful scenario: leveraging this large output capability within Google's AI Studio to generate extensive sample datasets for your projects. Whether you are developing a new application, building a resource, or require robust datasets for testing and validation, this model offers a powerful solution. We'll demonstrate how to move beyond the constraints of short responses and utilize the full potential of large output models to generate the data volume and variety you need, enhancing your development workflow through Google's AI Studio.
Transcript
[00:00] In AI Studio, switch over to the O121 model. This is a reasoning model which will take time to think, but what's massive about this is it has an output length of 65, 000 tokens. So we can do stuff like, my goal is to generate a bunch of sample data for dogs. Let's start with a simple JSON template that shows a bunch of the various properties about dogs if we're to generate a whole ton of data about them. Please give me five samples and I'll choose from the best one.
[00:27] So we'll start from here, let this run, let it think through it, and then we'll pick our favorite. Just quickly skimming through this, let's go ahead and pick number three here. So then with our huge output length we can say, based on template number three, please generate a huge JSON file of 500 dogs. Use a large variety of dogs from all across the world and all types and get very creative with the names and have a lot of fun with it. Then we can just let this run.
[00:59] We're still going, still going. We're 80 seconds in and still going. Alright after 116 seconds it stopped. I think we may have overloaded the code formatter because the formatting disappeared. I'm going to attempt to scroll up quickly and copy all of this, my browser allowing.
[01:16] Alright copied, and because I wasn't smart enough to add an index number on there let's just drop this into the Chrome DevTools, paste that in, we'll say dogs.length. Looks like it made it to 404 dogs with the last one being Great Catsby the Ninth, a Scottish Terrier, Chief Howling Thunder the Eighth, an Alaskan Malamute, and lots of other silly dog names in here. So I wanted to show you this because it's not gonna always hit the exact number that you request for. It is restricted by the output length and based on the length of the names and other variables It may cut off earlier than you expect but with all that being said 404 dogs of data after just waiting for 160 seconds is pretty freaking cool