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This video tutorial from Cohere AI explains word and sentence embeddings, which are essential for large language models. The goal of these models is to enable computers to understand and process language, which is inherently composed of words. Since computers operate using numbers, word embeddings convert words into numerical representations, associating each word with a list of numbers. Similarly, sentence embeddings represent sentences in a numeric format. This transformation is not done manually; instead, it relies on complex neural networks that analyze contexts. When words or sentences appear together in the same context, their numerical representations are adjusted accordingly, leading to effective and meaningful results in language understanding.
