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This video tutorial discusses word and sentence embeddings, which are essential for large language models. Language models aim to help computers understand and process language, but since computers handle numbers, word embeddings convert words into numerical representations. Each word is associated with a list of numbers, and similarly, sentence embeddings represent sentences with numerical lists in a meaningful way. This conversion is not a human-led process; instead, it’s achieved through complex models like neural networks. These models analyze context, bringing words and sentences closer together when they appear in similar contexts, ultimately leading to impressive outcomes in language processing.
