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This video tutorial from Cohere AI discusses word and sentence embeddings, essential components of large language models. It explains that language models aim to help computers understand and process language, which consists of words, while computers inherently process numbers. Word embeddings convert words into a list of numbers, and sentence embeddings do the same for sentences. This transformation is carried out by a neural network that analyzes context; it positions words closer together when they frequently appear in similar contexts. As a result, the models produce effective representations that enhance language processing capabilities.
