Project Details
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
Acronym | TinyGPT |
---|---|
Status | Active |
Effective start/end date | 01/02/2024 → 01/02/2026 |
Collaborative partners
- IT University of Copenhagen (lead)
Funding
- Independent Research Fund Denmark: DKK1,071,233.00
Keywords
- NLP
- data-efficient NLP
- language models
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