Building Production Quality Generative AI Applications

Explore a 42-minute conference talk on building production-quality Generative AI applications. Learn about developer workflows for rapid experiment iteration, quality improvement feedback, and quantitative performance metrics for compound AI systems. Discover how Databricks integrates Vector Search, Model Serving, MLflow, and other tools in an end-to-end demonstration of high-quality AI application deployment. Gain insights from Eric Peter, Sr Staff Product Manager, and Niall Turbitt, Senior Staff Data Scientist at Databricks. Access additional resources like the LLM Compact Guide and Big Book of MLOps to further enhance your knowledge in this field.

Dive into Building Production Quality Gen AI Applications