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This video tutorial from Cohere AI discusses word and sentence embeddings, essential components of large language models. These embeddings enable computers to process language by converting words and sentences into numerical representations. Each word and sentence is associated with a list of numbers that reflects its meaning and context. This process is not manually assigned by humans but is performed by complex neural network models. The models analyze the context in which words and sentences appear, bringing similar items closer together in the numerical space. Ultimately, this approach yields impressive results in understanding and processing natural language.
