AI translation

Contrastive Preference Optimization is an innovative approach to machine translation that significantly improves the performance of ALMA models by training the model to avoid generating translations that are merely adequate but not perfect. This method can meet or exceed the performance of WMT competition winners and GPT-4 on WMT'21, WMT'22 and WMT'23 test datasets.