Create, train, and deploy a billion-parameter language model on terabytes of data with TensorFlow and Amazon SageMaker

Favorite The increasing size of language models has been one of the biggest trends in natural language processing (NLP) in recent years. Since 2018, we’ve seen unprecedented development and deployment of ever-larger language models, including BERT and its variants, GPT-2, T-NLG, and GPT-3 (175 billion parameters). These models have pushed
Read More Shared by AWS Machine Learning June 14, 2022