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This video tutorial from Cohere AI focuses on word and sentence embeddings, essential components of large language models. These embeddings transform words into numerical representations, allowing computers to process language. Each word is linked to a list of numbers, and similarly, sentences are represented numerically in a meaningful way. Importantly, this process is automated through complex models, typically neural networks, rather than manual association by humans. The model analyzes the context in which words appear together; the closer two words are in context, the closer their numerical representations become. This method results in highly accurate and effective language understanding by the model.
