# Text-to-Text Unified Framework

T5 1.1 is Google's improved text-to-text Transformer model, employing GEGLU activation function and pure unsupervised pretraining strategy

T5 1.1 is Google's improved text-to-text transfer model, utilizing the GEGLU activation function and optimized architecture, focused on unsupervised pretraining

T5 1.1 is Google's improved text-to-text transfer Transformer model, utilizing GEGLU activation function and optimized architecture, pretrained solely on the C4 dataset in an unsupervised manner

T5-Small is a 60-million-parameter text transformation model developed by Google, using a unified text-to-text framework to handle various NLP tasks

T5-11B is a text-to-text transfer Transformer model developed by Google, with 11 billion parameters, supporting various NLP tasks.