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This video tutorial from Cohere AI discusses word and sentence embeddings, fundamental components of large language models. Language models aim to enable computers to understand and process language, which involves converting words into numerical representations, as computers can only handle numbers. Word embeddings link each word to a list of numbers, while sentence embeddings do the same for sentences. This process is automated by a neural network, which analyzes the context in which words and sentences appear. Through this contextual analysis, the model brings related words and sentences closer together in their numerical representation, leading to impressive outcomes in language processing.
