Quanta Magazine

How ‘Embeddings’ Encode What Words Mean — Sort Of

A picture may be worth a thousand words, but how many numbers is a word worth? The question may sound silly, but it happens to be the foundation that underlies large language models, or LLMs — and ...
Nature

Predicting drug–gene relations via analogy tasks with word embeddings

Natural language processing is utilized in a wide range of fields, where words in text are typically transformed into feature vectors called embeddings. BioConceptVec is a specific example of ...
Searchenginejournal.com

Find Keyword Cannibalization Using OpenAI’s Text Embeddings With Examples

Learn how to identify keyword cannibalization using OpenAI's text embeddings. Understand the differences between various models and make informed SEO decisions. This new series of articles focuses on ...
Nature

Compressed models for co-reference resolution: enhancing efficiency with debiased word embeddings

This work presents a comprehensive approach to reduce bias in word embedding vectors and evaluate the impact on various Natural Language Processing (NLP) tasks. Two GloVe variations (840B and 50) are ...