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The video tutorial from Cohere AI focuses on word and sentence embeddings, which are essential for large language models. These embeddings help computers understand and process language by converting words into numerical representations. Each word is associated with a list of numbers, and similarly, sentences are mapped to numbers in a meaningful way. This process is performed by neural networks, not humans. The model analyzes context, bringing words and sentences that appear together closer in the numerical space. Ultimately, this approach yields impressive results in language processing and understanding.
