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This video from Cohere AI discusses word and sentence embeddings, essential components of large language models. Language models aim to help computers understand language, which consists of words, while computers only process numbers. Word embeddings convert words into lists of numbers, and sentence embeddings do the same for sentences in a meaningful way. This process is accomplished by computers, specifically using complex models like neural networks, rather than human intervention. The model analyzes context—if two words appear together frequently, their numerical representations are brought closer together. This method yields impressive and useful outcomes in language processing.
