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The video tutorial discusses word and sentence embeddings, which are essential for large language models. These embeddings help computers understand and process language by converting words and sentences into numerical representations. Each word is associated with a list of numbers, and the same goes for sentences, facilitating meaningful data processing. This conversion is performed by a neural network, not manually by humans. The network analyzes context, bringing similar words closer together based on their usage in sentences. Ultimately, this process yields impressive results in language understanding.
