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In this video tutorial from Cohere AI, the focus is on word and sentence embeddings, essential components of large language models. These embeddings enable computers to understand and process language by converting words into numerical representations, where each word and sentence is associated with a list of numbers. This conversion is not performed manually but rather by a neural network that analyzes context; words occurring together in similar contexts are mapped closer in the numerical space. The result is a system that achieves remarkable outcomes in language comprehension and processing.
