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This video tutorial from Cohere AI explains word and sentence embeddings, which are fundamental to large language models. These embeddings allow computers to process language by converting words and sentences into numerical representations. Each word is associated with a list of numbers, while sentences are similarly represented. This transformation is achieved through neural networks, which analyze context. When two words appear together in the same context, their numerical representations are adjusted to be closer together. The result is a sophisticated system capable of understanding language in a way that leads to impressive outcomes.
