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This video tutorial from Cohere AI discusses word and sentence embeddings, essential components of large language models. These embeddings convert words and sentences into numerical representations, allowing computers to process language. Word embeddings associate each word with a list of numbers, while sentence embeddings do the same for sentences, ensuring the numerical representations reflect their meanings. This process is automated and relies on neural networks, which analyze context—bringing words or sentences closer together in the numerical space when they appear in similar contexts. Ultimately, this approach leads to impressive results in language understanding.
