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This video tutorial from Cohere AI discusses word and sentence embeddings, essential components of large language models. Language models aim to help computers understand and process human language, which is inherently composed of words, while computers operate with numbers. Word embeddings convert words into numerical representations, while sentence embeddings do the same for sentences, maintaining meaningful associations. This process is automated through complex neural networks, which analyze context to draw closer associations between words and sentences that appear together. Ultimately, this approach leads to impressive outcomes in language understanding and processing.
