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This video tutorial from Cohere AI focuses on word and sentence embeddings, essential components of large language models. Language models aim to help computers understand and process language, which is inherently composed of words, while computers operate on numbers. Word embeddings convert words into numerical representations, associating each word with a list of numbers. Sentence embeddings do the same for sentences in a meaningful manner. Importantly, this process is automated by a computer, typically using complex neural network models that analyze context, bringing similar words and sentences closer together in numerical space, ultimately yielding impressive results.
