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.") ...

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- ...

By getting pre-trained on massive levels of text, transformer-based AI architectures become powerful language models capable of accurately understanding and making predictions based on text analysis.

Hugging Face Transformers. The Hugging Face Transformers library is an open-source library that provides pre-trained models for NLP tasks. It supports GPT-2, GPT-3, BERT, and many others.

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 ...

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

The Transformer architecture forms the backbone of language models that include GPT-3 and Google’s BERT, but EleutherAI claims GPT-J took less time to train compared with other large-scale model ...

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 ...