The goal is to create a model that accepts a sequence of words such as "The man ran through the {blank} door" and then predicts most-likely words to fill in the blank. This article explains how to ...

Large language models like ChatGPT and Llama-2 are notorious for their extensive memory and computational demands, making them costly to run. Trimming even a small fraction of their size can lead to ...

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 ...

Recent advances in automatic question generation (AQG) coupled with the evolution of natural language processing (NLP) have significantly transformed educational assessments and interactive learning ...

This article explains how to create a transformer architecture model for natural language processing. Specifically, the goal is to create a model that accepts a sequence of words such as "The man ran ...