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7 Uses for the random Module in Python

Want to add a little unpredictability to your Python code? The random module is the quickest way to do it. From generating numbers and shuffling lists to simulating real-world randomness, it's one of ...
How-To Geek on MSN

Generate realistic test data in Python fast. No dataset required

Learn the NumPy trick for generating synthetic data that actually behaves like real data.
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用 PyTorch 实现 LLM-JEPA：不预测 token，预测嵌入

点击上方“Deephub Imba”,关注公众号,好文章不错过 !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 ...