689: Observing LLMs in Production to Automatically Catch Issues — with Amber Roberts and Xander Song

#MLObservability #LLMs #ModelDrift

Arize's Amber Roberts and Xander Song join @JonKrohnLearns this week, sharing invaluable insights into ML Observability, drift detection, retraining strategies, and the crucial task of ensuring fairness and ethical considerations in AI development.

This episode is brought to you by Posit, the open-source data science company (https://posit.co), by AWS Inferentia (https://go.aws/3zWS0au), and by Anaconda, the world's most popular Python distribution (https://superdatascience.com/anaconda). Interested in sponsoring a SuperDataScience Podcast episode? Visit https://jonkrohn.com/podcast for sponsorship information.

In this episode you …

ai development arize detection development drift ethical considerations fairness insights join learn llms observability production song strategies