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This video from Cohere AI discusses the importance of word and sentence embeddings in large language models. Word embeddings convert words into numerical representations, enabling computers to process language, while sentence embeddings do the same for entire sentences. This process is automated and involves neural networks, which analyze context to group related words and sentences closer together in their numerical forms. The result is a meaningful understanding of language that allows machines to better interpret and utilize text, yielding impressive outcomes in language processing applications.
