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This video tutorial from Cohere AI explains the concepts of word and sentence embeddings, essential components of large language models. These embeddings allow computers to process language by converting words and sentences into numerical representations. Each word and sentence is associated with a list of numbers that captures their meaning. This conversion is accomplished by complex neural network models rather than human intervention. The models analyze the context in which words appear together, bringing similar words (and sentences) closer in numerical space. This process results in effective and meaningful embeddings, facilitating better understanding and processing of language by computers.
