Low Computational Efficiency: The standard implementation breaks down the attention computation into multiple independent steps (such as matrix multiplication and softmax), each requiring frequent ...

The value of the Transformer model in the field of Natural Language Processing (NLP) lies not only in its technological ...

For their NLP experiments, the team used a BERT-based model architecture, with the attention mechanism replaced with BigBird, and compared their model's performance with RoBERTA and with ...

This has given rise to attention mechanisms, which help NLP models identify key words, in popular models like OpenAI’s GPT-3. These tools are now also at the heart of MIT’s new “SpAtten” model, a ...

Deci today announced that a NLP model developed by its AutoNac technology clocked 100,000 queries per second on eight Nvidia A100 GPUs.

Countless are the use cases that revolutionary AI model GPT-3, which uses deep learning to produce human-like text, can power. But, while it has potential for generative value, it is set to ...

Baidu open-sourced a natural language processing model it claims can outperform prior art with respect to Chinese language understanding.

When you have limited time or you lack the data to train an NLP model, an out-of-the-box solution offers a couple of major advantages.