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This video tutorial from Cohere AI discusses word and sentence embeddings, essential components of large language models. Language models aim to enable computers to understand and process language, which consists of words. However, since computers operate using numbers, word embeddings convert words into numerical representations. Similarly, sentence embeddings represent sentences numerically in a meaningful way. This transformation is achieved not by human intervention but through complex models like neural networks. These models analyze context, positioning words and sentences closer together if they appear in similar contexts, ultimately yielding effective and insightful outcomes.
