Training Large Language Models (LLMs) requires a vast amount of input data, and the higher the quality of that data the better the model will be at producing useful natural language. NVIDIA NeMo Data Curator is a toolkit built with RAPIDS and Dask for extracting, cleaning, filtering and deduplicating training data for LLMs.
