برای ترجمه زبان یک مدل ترانسفورماتور بسازید

این پیام به شش قسمت تقسیم می شود. They are: • Why the transformer is better than SEQ2SEQ • Preparation of data and tokenization • Design of a transformer model • Build the transformer model • Causal mask and padding mask • Training and evaluation of traditional SEQ2SEQ models with recurring neural networks have two main limits: • Sequential treatment prevents parallelization • Limited capacity to capture long -term dependencies Hidden states are on elect in the 2017 article, “attention is everything you need”, بر این محدودیت ها غلبه می کند.



منبع:aitoolsclub.com/