Developing and Assessing a FAIR-Compliant Dataset for Large Language Model Training

Integrating FAIR (Findable, Accessible, Interoperable, Reusable) data principles throughout the lifecycle of Large Language Model (LLM) development to enhance data quality, model performance, and ethical AI.