The Data Science Lab. How to Fine-Tune a Transformer Architecture NLP Model. The goal is sentiment analysis -- accept the text of a movie review (such as, "This movie was a great waste of my time.") ...

Transformers have also been making waves outside of NLP, by composing music, generating images from text descriptions, and predicting protein structure. How can I use Transformers?

AI software makers Explosion announced version 3.0 of spaCy, their open-source natural-language processing (NLP) library. The new release includes state-of-the-art Transformer-based pipelines and pre- ...

While transformer networks have revolutionized NLP and AI, challenges remain. The computational complexity of self-attention makes training large-scale transformer models resource-intensive.

CM3Leon is a transformer model, by contrast, leveraging a mechanism called “attention” to weigh the relevance of input data such as text or images.

Maker of the popular PyTorch-Transformers model library, Hugging Face today said it’s bringing its NLP library to the TensorFlow machine learning framework. The PyTorch version of the library ...

Like Google’s Meena and initially with GPT-2, at first Turing NLG may only be shared in private demos.. Language generation models with the Transformer architecture predict the word that comes ...

To hear the full interview, listen in the player above, or you can download it.. This week, Joanna Wright, our London editor, joins Wei-Shen on the podcast to talk about her feature on how transformer ...