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This video tutorial from Cohere AI discusses word and sentence embeddings, which are essential for large language models. These embeddings convert words and sentences into numerical representations to enable computers to process language. Each word is associated with a list of numbers, and the same applies to sentences, facilitating understanding. This process is not manually performed but is carried out by a neural network that analyzes context; when two words frequently appear together, their numerical representations become closer. The tutorial highlights how this approach leads to impressive results in language comprehension.