Streaming Model Cascades for Semantic SQL

1. 1Identify the semantic SQL queries that can be optimized using model cascades
2. 2Implement a fast proxy model to route most rows
3. 3Delegate uncertain cases to an expensive oracle model
4. 4Monitor and adjust the model cascade to optimize quality metrics

Data scientists and database engineers on a team can benefit from this approach as it reduces the per-row inference cost of large language models, allowing for more efficient querying of data warehouses

💡 Model cascades can reduce the per-row inference cost of large language models in semantic SQL queries

🚀 Streaming Model Cascades optimize semantic SQL queries!