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The video tutorial discusses word and sentence embeddings, essential components of large language models. These embeddings transform words and sentences into numerical representations, allowing computers to process language. Each word is linked to a list of numbers, and similarly, each sentence is associated with its own list. This process isn't manually done; instead, it is achieved through a neural network that analyzes context. When two words appear together in similar contexts, their numerical representations are adjusted to be closer to each other. This methodology enables significant advancements in computer understanding and processing of language.
