Genicious: Contextual Few-shot Prompting for Insights Discovery
Data and insights discovery is critical for decision-making in modern organizations. We present Genicious, an LLM-aided interface that enables users to interact with tabular datasets and ask complex queries in natural language. By benchmarking various prompting strategies and language models, we have developed an end-to-end tool that leverages contextual few-shot prompting, achieving superior performance in terms of latency, accuracy, and scalability. Genicious empowers stakeholders to explore, analyze and visualize their datasets efficiently while ensuring data security through role-based access control and a Text-to-SQL approach.
Authors
- Darshita Rathore (ORCID: https://orcid.org/0000-0003-0430-1129)
- Vipasha Rana
- Kanishka
- Vineet Kumar (ORCID: https://orcid.org/0000-0001-8364-3981)
- Ronald Tony
- Bhuvanesh Mandora
- Chetna Bansal
- Anindya Moitra
Institutions
- PayPal (United States) (US)
Publication Details
- Published
- 2024-12-18
- DOI
- https://doi.org/10.1145/3703323.3704274
- Primary Topic
- Topic Modeling
- Type
- article
- Field-Weighted Citation Impact
- 0.00