New Releases, Enhancements, Changes + Arize in the News!
Once a cluster that is impacting model performance has been identified, download the data in the cluster for active learning. This data includes all the information needed for labeling workflows. These clusters are highly focused groups of data points, enabling labeling teams to be more precise in their efforts.
Cluster Download Example
Gain a better visual understanding of your data, and discover new insights with UMAP filters. Use filters to focus in on a specific slice of your data in prior to generating the UMAP.
- UX Updates: Enhanced UX to easily parse file path and copy access permissions. Simply paste your file path, and Arize will parse your bucket name and prefix.
Revised File Path UI
- File Preview: Once you've configured your bucket access permissions, preview your file to validate expected column names and data match the 'Schema Mapping' fields.
File Preview in Arize
Revised 'Monitors' UI to break down monitor configurations in a few easy steps. Use the editable fields to configure filters, a delayed evaluation window, alerting threshold, notifications, and more.
Updated Edit Monitors UI
New additions focused on generative AI include:
Other additions include:
Forbes AI 50
Today, many models are in production with no retraining at all, use manual retraining methods, or are retraining without optimizing or studying the cadence. This guide can help you change the game.
In this third episode of Deep Papers, a podcast from AI Pub and Arize AI, we interview Timo Schick and Thomas Scialom, the Research Scientists at Meta AI behind Toolformer.