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  3. 2023

04.17.2023

New Releases, Enhancements, Changes + Arize in the News!

Last updated 2 years ago

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What's New

Cluster Download for Active Learning

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.

UMAP Filters for Additional Insights

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.

Enhancements

Cloud Storage & Data Warehouse Ingestion

  • 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.

  • 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.

Monitors UI: Edit & Custom Monitors

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.

In The News

New Course Updates!

New additions focused on generative AI include:

Other additions include:

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.

Arize's self-guided continues to add modules and practical content on the emerging field of LLMOps along with other core topics.

🦜 : how to fine-tune large language model (LLM) applications and maximize LLM production performance with LangChain

🔵 and LLM Metrics: tips for measuring text-based generative models using BLEU, ROUGE, METEOR, and Bertscore as well as prediction embeddings

📝 : an adventure in unleashing large language models (LLMs) on tabular Kaggle competitions

➡️ : a primer on a pivotal concept

: How to bin to win and overcome feature binning challenges

: how to monitor your recommendation systems

: when and where to use this important metric

For the third consecutive year, Arize AI made the Forbes AI 50 list. This year's list includes a on companies redefining what's possible through generative AI.

ML observability course
LangChain
Bleu Score
A Novel Approach for Applying LLMs To Tabular Data
Transfer Learning
Data Binning
Collaborative Filtering
F1 Score
Forbes AI 50 Recognizes Arize
special focus
Guide: Shifting To Automated, Dynamic Model Retraining
Cluster Download Example
UMAP Filters
Revised File Path UI
File Preview in Arize
Updated Edit Monitors UI
Forbes AI 50
Toolformer