Phoenix: Open-source Library for Comparing Embeddings

From the "689: Observing LLMs in Production to Automatically Catch Issues" in which Arize's Amber Roberts and Xander Song join @JonKrohnLearns to share invaluable insights into ML Observability, drift detection, retraining strategies, and the crucial task of ensuring fairness and ethical considerations in AI development.

Watch, listen to, or read the full episode at https://www.superdatascience.com/689

ai development arize detection development drift embeddings ethical considerations fairness insights join library llms observability phoenix production song strategies