Custom NLP Models. When NLP models need ... As Thomas noted: “Everything that happens in a business is about language and communication. NLP starts to form the brains, the vocabulary of any ...

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 ...

In 2022, we’ll get the first $100-million language model, predict a trio of tech execs, including Paul Barba and Jeff Catlin, the chief scientist and CEO of NLP solution provider Lexalytics, ...

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 ...

To address it, conversational AI platform Yellow AI recently announced the release of DynamicNLP, a solution designed to eliminate the need for NLP model training.

How it translates to NLP. Model-theoretical semantics is based on an old idea in AI that all of human knowledge can be encoded, or modeled, in a series of logical rules.

Researchers at MIT have created a framework—TextFooler—that brought down the prediction accuracy of certain NLP models from 90% down to under 20% by simply using synonyms in place of certain ...