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The video tutorial from Cohere AI focuses on word and sentence embeddings, fundamental components of large language models. These embeddings help computers process language by converting words and sentences into numerical representations that capture meaningful relationships. Instead of humans manually associating words with numbers, a neural network analyzes context to group similar words and sentences closer together. This process results in effective numerical representations that enable computers to understand language more naturally, leading to impressive outcomes in language processing tasks.
