Transforming End User – Researcher Interaction: Secure and Generalizable AI Tools for Converting Arbitrary Natural Language Queries into SQL

Report
Published on
byInternational Livestock Research Institute

Citation

Kemp, S.J., Mogaka, D. and Salavati, M. 2023. Transforming End User – Researcher Interaction: Secure and Generalizable AI Tools for Converting Arbitrary Natural Language Queries into SQL. Nairobi, Kenya: ILRI.

Authors

  • Kemp, Stephen J.
  • Mogaka, David
  • Salavati, M.

Related Publications

ILRI publication cover

A Novel Approach Utilizing Domain Adversarial Neural Networks for the Detection and Classification of Selective Sweeps

  • Hui Song
  • Jinyu Chu
  • Wangjiao Li
  • Xinyun Li
  • Lingzhao Fang
  • Han Jianlin
  • Shuhong Zhao
  • Yunlong Ma

Current and potential use of animal disease data by stakeholders in the global south and north

  • Grace, Delia
  • Amenu, Kebede
  • Daborn, C.J.
  • Knight-Jones, Theodore J.D.
  • Huntington, B.
  • Young, S.
  • Poole, Elizabeth J.
  • Rushton, J.

Transforming Smallholder Dairy Production Through Data-Driven Approaches: Africa-Asia Dairy Genetic Gains Program collaboration with Livestock Data for Decisions

  • Ojango, Julie M.K.

Geospatial characterization of climate-smart agroforestry in two contrasting physiographic zones of Rwanda

  • Ntawuruhunga, D.
  • Ngowi, E.E.
  • Mangi, H.O.
  • Salanga, R.J.
  • Shikuku, Kelvin Mashisia
ILRI publication cover

Trust me, I can do this: examining the essential role enumerators play in enhancing data quality in household surveys

  • Habermann, Birgit
  • Spinelli, Madison

Decision support tools for adaptation planning in Africa

  • Shikuku, Kelvin Mashisia
  • Ochenje, Ibrahim
  • Chan, Derek
  • Lepariyo, Watson
  • Baraza, Meshack
  • Banerjee, Rupsha R.
  • Karugia, Joseph
  • Whitbread, Anthony M.