Using prompt tuning with T5 issue I want to prompt-tune the T5 model which is an encoder-decoder model and therefore uses decoder_input_ids instead of input_ids in a model.generate (). This is ...

This Specialization from coursera is designed and taught encoder-decoder attention model, Transformer model, T5 & BERT models and Reformer model. In Course 4 of the Natural Language Processing ...

Recent research sheds light on the strengths and weaknesses of encoder-decoder and decoder-only models architectures in machine translation tasks.

Google has launched T5Gemma, a new collection of encoder-decoder large language models (LLMs) that promise improved quality and inference efficiency compared to their decoder-only counterparts. It is ...

Text summarization plays a vital role in distilling essential information from large volumes of text. While significant progress has been made in English text summarization using deep learning ...

Automatically creating description sentences for images is a task that involves aligning image under-standing with natural language processing. This paper presents a model for image captioning that ...

The encoder-only model processes text up to four times faster than its predecessor while using less memory, according to a blog post from the developers. The team trained ModernBERT on 2 trillion ...