Robust and Data-efficient Natural Language Processing
- Anna Rogers(PI),
- Peter Sestoft(CoI),
- Maximilian Müller-Eberstein(Collaborator)
Project:
Research
Project status
Active
Description
Area: NLP
Goal: creating a realistic, but small-scale platform for NLP research, that would encourage work on a new generation of models that can efficiently learn from limited data while still achieving high performance
Goal: creating a realistic, but small-scale platform for NLP research, that would encourage work on a new generation of models that can efficiently learn from limited data while still achieving high performance
Project Information
Project Type
Research
Project Collaborators
Acronym
TinyGPTTime Period
01/02/2024 – 31/12/2026Status
ActiveID
External Project ID: 3160-00022b
Funding Details
TinyGPT: Robust and Data-efficient Natural Language ProcessingAward
FundersAmounts
Independent Research Fund Denmark
1071233 DKK