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This video tutorial from Cohere AI discusses word and sentence embeddings, which are integral to large language models. The core concept is that while language comprises words, computers process numerical data. Word embeddings convert words into numerical forms, associating each word with a list of numbers. Similarly, sentence embeddings do this for sentences. This conversion is not performed by humans but by a neural network that analyzes context; words appearing together in similar contexts are mapped closer together in the numerical space. This method ultimately yields impressive results in language understanding.
