We are broadly interested in further improving the capabilities of foundation models (FMs) for a range of data management tasks such as data discovery, metadata enrichment, data access and retrieval with querying, and automated data-driven insights.
We are looking for interns with research interest and expertise in implementation of interactive data workflows such as natural language to data insights, implementation of agentic solutions with design patterns like Think, Act, Observe,Reflect.
Skills and tasks of interest include:
- [LLM for code generation] Implementation of pipelines that use foundational models for code generation specific to data tasks such as SQL for data retrieval.
- [Agents and Reasoning] Implementation of novel autonomous agentic systems to compete with Text-to-SQL on public leaderboards like BIRD and Spider 2.0
- [Knowledge Graphs, Multi-Modal FMs] Implementation of techniques sing combinations of foundational models, knowledge graphs, and multi-modal data for improving tasks such as data discovery and automated text-to-sql.
- [LLMs for DataOps] Implementation of generative AI tooling for DataOps such as data integration and flows, similar to usage of LLMs for DevOps.
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