点击上方“Deephub Imba”,关注公众号,好文章不错过 !深度学习模型参数量和训练数据集的爆炸式增长，以 Llama 3.1 为例：4050 亿参数、15.6 万亿 token 的训练量，如果仅靠单 GPU可能需要数百年才能跑完，或者根本无法加载模型。并行计算（Parallelism）通过将训练任务分发到多个 ...
点击上方“Deephub Imba”,关注公众号,好文章不错过 !单机 PyTorch 模型跑推理没什么问题，但数据量一旦上到万级、百万级，瓶颈就暴露出来了：内存不够、GPU 利用率低、I/O ...
Dr. James McCaffrey of Microsoft Research presents the fundamental concepts of tensors necessary to establish a solid foundation for learning how to create PyTorch neural networks, based on his ...
Dr. James McCaffrey of Microsoft Research uses a complete demo program, samples and screenshots to explains how to install the Python language and the PyTorch library on Windows, and how to create and ...
Not every regression or classification problem needs to be solved with deep learning. For that matter, not every regression or classification problem needs to be solved with machine learning. After ...
Not every regression or classification problem needs to be solved with deep learning. For that matter, not every regression or classification problem needs to be solved with machine learning. After ...
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