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This video tutorial from Cohere AI explains word and sentence embeddings, which are essential for large language models. These embeddings convert words and sentences into numerical representations, enabling computers to understand and process language. A neural network performs this conversion by analyzing context: when two words appear together, their embeddings are adjusted to reflect their proximity in meaning. This process also applies to sentences, resulting in meaningful numerical associations. Ultimately, this technology yields impressive outcomes in natural language understanding.
