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In this video tutorial from Cohere AI, the focus is on word and sentence embeddings, which are fundamental for large language models. These embeddings enable computers to understand and process language, which inherently consists of words. Since computers handle numbers, word embeddings convert words into numerical representations. Similarly, sentence embeddings translate entire sentences into lists of numbers meaningfully. This conversion is not manually assigned by humans but is performed by complex neural networks that analyze context. By examining which words or sentences appear in similar contexts, these models gradually learn to associate them more closely, leading to impressive outcomes in language comprehension.
