An exercise-driven course on Advanced Python Programming that was battle-tested several hundred times on the corporate-training circuit for more than a decade. Written by David Beazley, author of the ...

We list the best IDE for Python, to make it simple and easy for programmers to manage their Python code with a selection of specialist tools. An Integrated Development Environment (IDE) allows you to ...

The book was written and tested with Python 3.5, though other Python versions (including Python 2.7) should work in nearly all cases. The code in the book was tested with Python 3.5, though most (but ...

When it comes to working with data in a tabular form, most people reach for a spreadsheet. That’s not a bad choice: Microsoft Excel and similar programs are familiar and loaded with functionality for ...

Information provided on Forbes Advisor is for educational purposes only. Your financial situation is unique and the products and services we review may not be right for your circumstances. We do not ...

Flat tires tend to happen one at a time. The ideal scenario is to replace all four tires, but that can be costly. So to address a tread puncture or sidewall tear, can you buy just a single tire or ...

If you own a pair of wireless earbuds, you’ll know how easy it is to misplace them. They might be convenient, but they’re a nightmare to keep safe. If you somehow misplace the AirPods charging case ...

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 ...

Building something in Minecraft can take quite some time. Sometimes, one's block choice doesn't end up being ideal, and players need to swap their blocks for others. This usually takes time while ...

这就好比我们突然发现，原本只会纸上谈兵的军师，一旦给了他一套完整的作战工具，立刻就能指挥千军万马。研究结果显示，不同的AI模型在获得沙盒环境后，性能提升幅度从1%到24%不等，这在AI领域算是相当可观的进步。

LLM-in-Sandbox 提出了一个简洁而有效的范式：通过给大模型提供一台虚拟电脑，让其自由探索来完成任务。实验表明，这一范式能够显著提升模型在非代码领域的表现，且无需额外训练。 研究者认为， LLM-in-Sandbox 应当成为大模型的默认部署范式 ， 取代纯 LLM 推理 。当沙盒可以带来显著的性能提升，并且部署成本几乎可以忽略不计时，为什么还要用纯 LLM？

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