Turn Insights into Brand Advantage
Every user interaction is an opportunity to improve your product and model model to deliver better responses. You can export your logs as specific datasets (in CSV or JSSL format) for testing and offline testing. By identifying examples in your songs where quality and performance have been included (or exceeded), you can create a reliable and financial basis for expected results.
You can use these features for quick refinement, performance tracking and more. For example, you can use the Gemini Batch API to run batch tests using datasets created over time, see the example dataset cookbook. This allows you to test changes to your Gemini model selection or application logic before you commit them to users.
You also have the option to share specific information with Google to provide feedback on exemplary behavior for your specific use case. The information shared will be used to develop and improve Google products and services, including developing and training our models.
