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Gpt 模型就像由人工神經元組成的複雜網路，以層層結構深入處理資訊，就像人類大腦一樣。 該架構稱為「transformer」，是 google 研究人員在 2017 年發明並開放原始碼的類神經網路設. Gpt (生成式预训练变换器) 是专为自然语言处理 (nlp) 任务设计的一系列高级神经网络。 这些大语言模型 (llm) 基于转换器架构，并在大量未标记的数据集上进行无监督预训练。 在 gpt 流利的对话背后，gpt 实际上只专注于做一件事：预测下一个字是什么。 gpt 整个庞大的神经网络，其功能非常简单：根据输入的上下文，预测下一个字是什么。
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Following the research path from gpt, gpt‑2, and gpt‑3, our deep learning approach leverages more data and more computation to create increasingly sophisticated and.
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