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This video tutorial from Cohere AI explains word and sentence embeddings, which are fundamental to large language models. The aim of language models is to enable computers to understand and process human language, which inherently consists of words. Since computers operate with numbers, word embeddings translate words into numerical representations. Similarly, sentence embeddings assign numerical values to sentences in a meaningful way. This process is not human-driven; instead, it utilizes neural networks that analyze context. When words frequently appear together, the model brings their representations closer, achieving significant results in understanding language.
