Delete Data & Datasets

As interactions with the Large Language Model (LLM) grow, it's equally important for users to refine their existing data to maintain its relevance and accuracy. Over time, users may accumulate data that is no longer needed, outdated, or incorrect. To help users keep their data up-to-date and clutter-free, Tromero offers robust deletion. In this section, we'll guide users on how to delete data efficiently using filters based on Data Tags, Datasets, Date Range, and Creator Models, ensuring that users can easily remove unnecessary data and focus on the information that matters most.

When deleting data from the platfrom users can filter their data by selecting specific models, tags used and data ranges and creator model. Below is a video showing how one can delete a data.

Delete Datasets

Datasets can then be viewed or deleted from the 'Dataset' tab.