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用 PyTorch 实现 LLM-JEPA:不预测 token,预测嵌入
这篇文章从头实现 LLM-JEPA: Large Language Models Meet Joint Embedding Predictive Architectures。需要说明的是,这里写的是一个简洁的最小化训练脚本,目标是了解 JEPA 的本质:对同一文本创建两个视图,预测被遮蔽片段的嵌入,用表示对齐损失来训练。 本文的目标是让你真正 ...
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