How to scale AI generation to billions of rows in BigQuery at a fraction of the cost
How to scale AI generation to billions of rows in BigQuery at a fraction of the cost
Author: Google Cloud Tech – Duration: 00:04:45
Documentation for optimized mode → https://goo.gle/optimize-ai-functions
Overview of Generative AI in BigQuery → https://goo.gle/bq-genai-overview
For many, running generative AI on massive datasets seems out of reach due to costs and slow processing times. Others rely on traditional ML techniques that require specialized skills and often produce lower quality results. With BigQuery AI feature-optimized mode, you can now get LLM-quality results at a fraction of the cost and at BigQuery speeds. In this video, we'll show you how BigQuery uses model distillation and integration to process large datasets, reducing query latency and token consumption. Chapters: 0:00 – AI Generation Scaling Challenge 1:07 – Overview of BigQuery AI Optimized Mode 1:22 – How it Works: Distillation and Model Integration 1:57 – Automatic Optimization with AI.IF and AI.CLASSIFY 2:16 – Demo: Analyzing Images and Text with Optimized Mode 4:23 – Conclusion and Next Steps 🔔 Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech
#BigQuery #GoogleCloud #Gemini #GenAI #SQL #DataAnalytics Speaker: Rushabh Desai Products Mentioned: BigQuery
