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This video tutorial from Cohere AI discusses word and sentence embeddings, which are essential for large language models. These embeddings enable computers, which only process numbers, to understand and work with language. Word embeddings map each word to a list of numbers, and sentence embeddings do the same for sentences, maintaining a meaningful relationship. This process is carried out by a neural network, which analyzes context to bring similar words and sentences closer together in the embedding space. The video highlights how these techniques yield impressive results in language processing.
