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This video tutorial from Cohere AI discusses word and sentence embeddings, essential components of large language models. Language models aim to enable computers to understand and process human language, which consists of words, while computers can only handle numbers. Word embeddings convert words into numerical representations by associating each word with a list of numbers, and sentence embeddings do the same for sentences. This process is performed by complex neural networks that analyze the context in which words and sentences appear, bringing similar items closer together in the numerical space. The technique results in impressive outcomes for language processing.
