Originally published at: https://developer.nvidia.com/blog/curating-non-english-datasets-for-llm-training-with-nvidia-nemo-curator/
Data curation plays a crucial role in the development of effective and fair large language models (LLMs). High-quality, diverse training data directly impacts LLM performance, addressing issues like bias, inconsistencies, and redundancy. By curating high-quality datasets, we can ensure that LLMs are accurate, reliable, and generalizable. When training a localized multilingual LLM, especially for low-resourced languages,…