Getting Started With AI Observability In Snowflake скачать в хорошем качестве

Getting Started With AI Observability In Snowflake

Snowflake Developer Advocate Josh Reini demonstrates how to use AI Observability, now in public preview, to evaluate and track RAGs in Snowflake so that you can get your application from prototype to production. AI Observability in Snowflake Cortex enables you to easily evaluate and trace your genAI applications. With AI Observability, you can measure the performance of your AI applications by running systematic evaluations and iterating on your application configurations to optimize performance. In addition, you can log the application traces to debug your application. AI Observability improves trust and transparency of genAI applications and agents, enabling thorough benchmarking and performance measurement prior to deploying your applications. Love this content? Continue exploring with our step-by-step Quickstart lab. It will walk you through setting up your environment and building an end-to-end ML pipeline with Snowflake Notebooks on Container Runtime. 👉 https://quickstarts.snowflake.com/gui... Subscribe to this channel for more great content! -- http://www.snowflake.com/YTsubscribe/ Explore sample code, download tools, and connect with peers: -- https://developers.snowflake.com/ #Snowflake #AIDataCloud #AI #GenAI #ArtificialIntelligence