We developed precompiled lexicons and classification rules as features for the following ML classifiers: logistic regression, random forest, and support vector machines (SVMs). These features were ...

Artificial Intelligence (AI) has undergone remarkable advancements, revolutionizing fields such as general computer vision ...

This article talks about how Large Language Models (LLMs) delve into their technical foundations, architectures, and uses in ...

In the first half of this course, we will explore the evolution of deep neural network language models, starting with n-gram models and proceeding through feed-forward neural networks, recurrent ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...

Treatment of non–muscle-invasive bladder cancer (NMIBC) is guided by risk stratification using clinical and pathologic criteria. This study aimed to develop a natural language processing (NLP) model ...

Recently, a research team at The University of Massachusetts Amherst led by Emma Strubell published a paper on the carbon emissions generated through training a high-performing NLP model. Given the ...

Large language models represent text using tokens, each of which is a few characters. Short words are represented by a single token (like “the” or “it”), whereas larger words may be represented by ...