The Science and Practical Applications of Word Embeddings 

In this contributed article, editorial consultant Jelani Harper takes a look at how word embeddings are directly responsible for many of the exponential advancements natural language technologies have made over the past couple years. They’re foundational to the functionality of popular Large Language Models like ChatGPT and other GPT iterations. These mathematical representations also have undeniable implications for textual applications of Generative AI.