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The video tutorial from Cohere AI discusses word and sentence embeddings, essential components of large language models. These embeddings enable computers to process language by converting words into numerical representations, which allows for comprehension and manipulation of language. Each word and sentence is associated with a list of numbers, determined by a neural network rather than human intervention. The model examines context, bringing similar words and sentences closer together numerically when they appear in similar situations. This process yields impressive results, enhancing the understanding of language by machines.