1 citations · 1 across the 3 of their papers we have counts for
4 papers
Compositional Online Learning for Semantic Data Processing Systems
Paweł Liskowski, Fuheng Zhao, Benjamin Han +2
An LLM call in a semantic data processing system is expensive enough to dominate query cost, yet slow enough to hide a CPU-side learner's update behind its round-trip. In productio…
Larch: Learned Query Optimization for Semantic Predicates
Fuheng Zhao, Pawel Liskowski, Zihan Li +5
With the advent of Large Language Models (LLMs), many database systems introduced semantic operators that enabled analytical queries over unstructured data (e.g. text, images, vide…
Cortex AISQL: A Production SQL Engine for Unstructured Data
Paweł Liskowski, Benjamin Han, Paritosh Aggarwal +11
Snowflake's Cortex AISQL is a production SQL engine that integrates native semantic operations directly into SQL. This integration allows users to write declarative queries that co…
Towards Energy-Efficient Database Cluster Design
Willis Lang, Stavros Harizopoulos, Jignesh M. Patel +2
Energy is a growing component of the operational cost for many "big data" deployments, and hence has become increasingly important for practitioners of large-scale data analysis wh…