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This video tutorial from Cohere AI discusses word and sentence embeddings, which are fundamental to large language models. These embeddings transform words and sentences into numerical representations, allowing computers to understand and process language. Each word is associated with a list of numbers based on context, enabling the model to recognize relationships between words that appear together. Similarly, sentence embeddings function by assigning numbers to sentences in a meaningful way. This process is handled by complex neural networks, rather than human intervention, by analyzing contextual usage. Ultimately, this approach yields impressive results in language understanding.
