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This video tutorial by Cohere AI explains the concepts of word and sentence embeddings, which are fundamental to large language models. These embeddings help computers understand and process language by converting words into numerical representations. Each word is associated with a list of numbers, with sentence embeddings functioning similarly for sentences. Importantly, this process is not done manually; instead, it is accomplished by a neural network. The model analyzes context, bringing words and sentences that appear together closer in the numerical space. The result is an efficient representation that enhances language understanding for computers.
