Data curation plays a crucial role in the development of effective and fair large language models (LLMs). High-quality, diverse training data directly impacts…
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…
