All projects Model Lake
Amalur
Amalur explores the convergence of data integration and machine learning — automating how scattered training data across silos is integrated for downstream models. It is the foundation of the group’s Model Lake vision, where heterogeneous data and rich model zoos meet in one place.
Related publications
- Database is All You Need: Serving LLMs with Relational Queries · EDBT 2025
- TranSQL+: Serving Large Language Models with SQL on Low-Resource Hardware · SIGMOD 2025
- Amalur: The Convergence of Data Integration and Machine Learning · IEEE TKDE 2024
- Model Selection with Model Zoo via Graph Learning · ICDE 2024