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How Language Models Work: From Attention to Human Feedback

  • Language models like GPT rely on deep neural networks to convert language into numbers and predict text with accuracy.
  • Attention in AI helps models focus on important words in sentences for better predictions.
  • Text is tokenized into subwords and transformed into numeric vectors to enable AI processing.
  • Neural networks train on large text corpora, using backpropagation to adjust weights and improve language understanding.

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