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This video tutorial from Cohere AI explains the concepts of word and sentence embeddings, which are essential for large language models. Language models aim to help computers understand and process language, but since computers only understand numbers, word embeddings convert words into numerical representations. Sentence embeddings do the same for sentences. This conversion is not manually created by humans; instead, it is performed by a neural network that analyzes context. When two words appear together in the same context, the model adjusts their numerical representations to bring them closer together. This process yields impressive results in understanding language.
