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The video from Cohere AI explains word and sentence embeddings, which are fundamental to large language models. These embeddings convert language into numerical representations, allowing computers to understand and process language. Each word is associated with a list of numbers, and sentence embeddings provide a similar association for sentences. This conversion is not manually done but is carried out by neural networks that analyze context. When two words frequently appear together, their numerical representations become closer. This context-driven approach enables impressive results in natural language processing.
