the ELMO model

ELMO (Embeddings from Language Models) is a type of advanced language model that creates context-aware word representations. Unlike traditional models that assign a single fixed meaning to each word, ELMO considers the entire sentence, capturing how a word's meaning can change depending on its context. It achieves this by analyzing sentences from left to right and right to left, then combining these insights to generate nuanced word embeddings. This allows ELMO to improve natural language understanding tasks like translation, question answering, and sentiment analysis by better capturing the subtle complexities of language.