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 ...

Since their initial development in the seminal AI research paper Attention Is All You Need, transformer-based architectures have completely redefined the field of Natural Language Processing (NLP ...

This model abandons the recurrence mechanism ... Transformers have a versatile architecture that can be adapted beyond NLP. Transformers have expanded into computer vision through vision ...

Learn More 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 ...

now the second biggest Transformer model, and includes 10 times as many parameters as OpenAI’s GPT-2. Turing NLG achieves state-of-the-art results on a range of NLP tasks. Like Google’s Meena ...

12:00 – What is a transformer model, and how has it helped with the development of the NLP field? 18:00 – How are data providers like Refinitiv and Bloomberg using transformer models like BERT ...

Rajeswaran V, senior director at Capgemini, notes that Open AI’s GPT-3 model has mastered ... he says. NLP systems that rely on transformer models are especially strong at NLG.