Google AI Studio launches logs and datasets for AI builders

Flip insights into product excellence

Each person interplay is an opportunity to enhance your product and the mannequin’s skill to ship higher responses. You may export your logs as particular datasets (in CSV or JSONL format) for testing and offline analysis. By figuring out examples in your logs the place high quality and efficiency dipped (or excelled), you’ll be able to construct a dependable and reproducible baseline of anticipated outcomes.

You need to use these datasets for immediate refinement, efficiency monitoring and extra. For instance, you should use the Gemini Batch API to run batch evaluations utilizing datasets constructed up over time, see the Datasets Cookbook for an instance. This lets you take a look at the modifications to your Gemini mannequin choice or software logic earlier than you deploy them to customers.

You even have the choice to share particular datasets with Google to supply suggestions on end-to-end mannequin conduct to your particular use case. Shared datasets shall be used to enhance and develop Google services and products, together with bettering and coaching our fashions.