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The video from Cohere AI discusses word and sentence embeddings, which are essential for large language models. These embeddings enable computers to process language by converting words and sentences into numerical representations. Instead of humans assigning numbers to words, a neural network analyzes the context in which words appear together, bringing similar words and sentences closer in the numerical space. This process allows the model to understand and process language more effectively, ultimately yielding impressive results in language comprehension and generation.
