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 the all ...

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 ...

The goal is sentiment analysis -- accept the text of a movie review (such as, "This movie was a great waste of my time.") and output class 0 (negative review) or class 1 (positive review). This ...

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 ...

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.

It builds on Google’s Transformer, an open source neural network architecture based on a self-attention mechanism that’s optimized for NLP.

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 ...