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This video tutorial from Cohere AI discusses word and sentence embeddings, essential components of large language models. It explains that while language consists of words, computers operate using numbers. Word embeddings convert words into numerical representations, while sentence embeddings do the same for sentences. This process is not manually done but is achieved by advanced neural networks that analyze context. When two words appear together in the same context, the model brings their numerical representations closer together. Ultimately, this method helps to produce effective and meaningful results in natural language processing.
