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This video tutorial from Cohere AI explains word and sentence embeddings, which are essential for large language models. Language models aim to help computers understand and process human language, which is typically composed of words. Since computers operate on numbers, word embeddings convert words into numerical representations, linking each word to a list of numbers. Sentence embeddings perform a similar function for sentences. This process is managed by neural networks rather than humans, as the models analyze context—bringing words that frequently appear together closer in their numerical representation. The result of this approach leads to impressive outcomes in understanding language.
