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This video tutorial from Cohere AI discusses word and sentence embeddings, essential components of large language models. These embeddings translate words into numerical representations, enabling computers to process language, which is inherently made of words. Word embeddings link each word to a set of numbers, while sentence embeddings do the same for sentences, ensuring meaningful associations. This process is automated by neural networks that analyze context; when two words appear together frequently, their numerical representations are adjusted to be closer in the embedding space. The result is an effective representation of language that yields impressive outcomes.