03.28.2024
New Releases, Enhancements, + Changes
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New Releases, Enhancements, + Changes
Last updated
Was this helpful?
Arize now supports LLM assisted evals that have been generated by the Arize Phoenix evals package. Use evals to determine the performance of your LLM application across dimensions such as Hallucination, Toxicity, QA Correctness and more. Evals can also be run on a job and sent to Arize on a regular cadence. to get started with Evals in Arize, with more releases coming to Evals soon.
Users can now send evals and spans together via the log_spans method of the Arize Pandas Client
On-prem users can pass a path to certificate files or disable the TLS verification.
The latest paper readings, ebooks, self-guided learning modules, and technical posts:
This update allows users to self-serve data deletion through GraphQL.
We now support AUC in custom metrics.
Learn about Python SDK fixes and improvements .
Tutorial: Everything You Need to Set Up a SQL Router for Text-To-SQL
vs Model Evals
: Performance and Review
Cerebral Valley on ""
Paper Read:
