Transformer networks have emerged as a groundbreaking technology in the field of artificial intelligence, specifically in natural language processing (NLP). Developed by Vaswani et al. in 2017 ...

Hugging Face's Transformers library with AI that exceeds human performance -- like Google's XLNet and Facebook's RoBERTa -- can now be used with TensorFlow.

Wavelength Podcast Ep. 186: NLP and Transformer Models Joanna Wright joins the podcast to talk about an innovation that is helping push forward the field of machine learning in the capital markets.

In recent years, with the rapid development of large model technology, the Transformer architecture has gained widespread attention as its core cornerstone. This article will delve into the principles ...

The HF library makes implementing NLP systems using TA models much less difficult (see "How to Create a Transformer Architecture Model for Natural Language Processing"). A good way to see where this ...

Huggingface It has been quite a journey from the company that produced a PyTorch library that provided implementations of Transformer-based NLP models and the Write With Transformer website, to ...

Clement Delangue is the co-founder and CEO of Hugging Face, a startup focused on natural language processing that has raised more than $20M. The company created Transformers, the fastest growing ...

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 ...

The HF library makes implementing NLP systems using TA models much less difficult (see "How to Create a Transformer Architecture Model for Natural Language Processing"). A good way to see where this ...