All About AI Observability (The Context Window #03)

Description

In this podcast, we're talking all about AI observability: why is it difficult to observe AI? How can you debug AI when something goes wrong? What are evaluations, and how do you use them to improve your confidence in the quality of your AI app? The Context Window is a regular video podcast about engineering AI at Grafana Labs. The hosts today are Senior Developer Advocates Tiffany Jernigan and Nicole van der Hoeven, and the guests are Staff Software Engineer Alexander Sniffin and Senior Software Engineer Jack Gordley. --- Links/resources: Learn about Grafana Assistant: https://grafana.com/docs/grafana-cloud/machine-learning/assistant/ Check out our AI blog, Context Horizon: https://gra.fan/ch Learn how we handle your privacy and security for Grafana Assistant: https://grafana.com/docs/grafana-cloud/machine-learning/assistant/privacy-and-security/ Check out the pricing page - Assistant is included in the free tier too!: https://grafana.com/pricing/ Get started with the Grafana Cloud forever-free tier: https://grafana.com/g/cloud Have a question? Ask Grot, your AI helper: https://grafana.com/grot/ Reach out in our community forums: https://gra.fan/communityyf --- Thanks for watching! 👍 Was this video helpful? Like and subscribe to our channel for more videos. Connect with Grafana Labs: X: (https://www.twitter.com/grafana) LinkedIn: (https://www.linkedin.com/company/grafana-labs/) Facebook: (https://www.facebook.com/grafana) #Grafana #Observability #assistant #ai #actuallyusefulai