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This video tutorial from Cohere AI discusses word and sentence embeddings, which are essential for large language models. Language models aim to enable computers to understand and process language, but since computers handle numbers, embeddings translate words and sentences into numerical representations. Each word and sentence is associated with a list of numbers in a meaningful way. This process is not manual; instead, it relies on complex neural networks that analyze context. When two words frequently appear together, their numerical representations are adjusted to be closer. This contextual understanding ultimately leads to effective and nuanced results in language processing.
