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This video tutorial from Cohere AI discusses word and sentence embeddings, essential components of large language models. It explains that language models aim to enable computers to understand and process language, which consists of words, while computers handle numbers. Word embeddings convert words into numerical representations, and sentence embeddings do the same for sentences in a meaningful way. Importantly, this process is not manually conducted by humans but is performed by computers, typically using complex neural networks. These models analyze context, drawing words or sentences closer together based on their co-occurrence, resulting in effective representations for natural language processing.
