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How it Works: Fiverr Go AI Creation Models (Part 1 of 2)

Have you ever been presented with so many projects that you would love to take on, yet you just don't have enough time to get them done? Ever wished you could split into two and have one part of you working on easy outputs while the other focuses on passion projects? I know I definitely have!

Well, that is all officially possible with our latest innovation, Fiverr Go! This new suite of AI-powered tools is designed to help you leverage AI so you can do more in your business, without actually having to do more in your business. Currently, Fiverr Go offers two models: Personal Assistant and AI Creation Model. While both tools are worth exploring, we’re diving deep into all things AI Creation Models in this article.

🔸 What is AI Creation Models?

While it is built on Generative AI frameworks, the Fiverr Go Creation Model is unlike your typical AI models that are known for generating generic, cookie-cutter results (you know, the ones that everyone can sniff from a mile away 🙈). Instead, it takes your previous work and generates outputs that reflect your unique style. This way, you can use AI to make more money and save time, all while delivering distinct products to your clients that you’re proud of.

🔸 Training your AI

Before your Creation Model can get to working on your behalf, you must first train it. But don’t worry about the rigorous, time-consuming training programs usually required for a new hire. With Fiverr Go, you can train your AI Creation Model in just a few simple steps:

▪️ Select a category. Head to the Creation Models section in your AI Hub to make your category selection. From there, our Creation Model will find and group similar samples of your work.

▪️ Select your assets. Select the work samples that showcase your unique style and the work you want the model to reproduce. All assets must be your own, whether created solely by you or with AI assistance.

▪️ Tag your assets. This also helps provide the model with more in-depth context of your work. For example, for audio models, you can add tags that distinguish tone, style, and emotion.

Once all the information is entered, the model will start training based on the data you provided. Training time will vary based on the model you are building however it should all be done in a matter of minutes.

🔸 Testing your model

Want to see your newly trained model in action? Head over to the playground area and have fun! Here, you can test different scenarios and generate outputs. Simply insert a prompt to see how your model performs.

Source: Fiverr

🔸 Part 1 • Part 2
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