Curious how to apply resource-intensive generative AI models across massive datasets without breaking the bank? Join this session to discover efficient batch inference strategies for foundation models on Databricks. Learn how to build scalable, cost-effective pipelines that power LLMs and other generative AI systems—optimized for performance, quality, and throughput. We’ll also dive into ai_query, a powerful new capability that lets you run generative AI directly on your data using SQL-like syntax. See how it simplifies development, unlocks new use cases, and accelerates insights with live demos and real-world examples.