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

How Language Models Work: From Attention to Human Feedback

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