Optimizing Language Model Domain Splitting
By training on a shared corpus before fine‑tuning on niche datasets, the approach reduces data duplication and improves performance across global applications, from multilingual translation to industry‑specific knowledge extraction, promising more efficient AI deployment worldwide.