昨天凌晨，阿里开源了全新的推理模型：QwQ-32B。 据官方发布消息，该模型性能比肩满血版 DeepSeek-R1 （671B）！ 可以看到在官方放出的评测图中， QwQ-32B 与满血版 DeepSeek R1（671B）在五项基准测试的得分不相上下，更是远超同尺寸 R1 蒸馏模型。 看到了这些消息后，我就开始上手深度测试。 QwQ-32B开源链接： 魔搭 开源链接： modelscope.cn/models/Qw. huggingface开源链接： huggingface.co/Qwen/QwQ. 在线体验地址： chat.qwen.ai/? 本地部 …

QuickBASIC 4.5 is the direct successor to GW-BASIC and can handle probably 95% of all GW-BASIC programs with the exception of those that rely on more esoteric features. FreeBASIC has little development going on but it theoretically handles almost all QB programs and so will handle GW-BASIC programs as well.

在几乎所有数据集里，QwQ-32B 都已经能跟满血版 DeepSeek R1 （671B）表现相当了。 尤其是作为QwQ-32B 的主攻方向的数学和代码。 而且，QwQ-32B在基准测试上的性能跑分，几乎拉开o1-mini一个身位。 我人已傻。 今天这夜，对我的冲击有一点大。 GPT4.5刚刚证明传统的那套快撞墙了，转头阿里就来给你掏个大的，说，你看，强化学习还是能卷的，这条路，远远还没到头。 这么令人诧异的性能表现，其实也跟这两天在arxiv出来的一篇爆火论文互相印证了。 一堆斯 …

2019年12月2日 · We implement the shift using the quantum Fourier transform (QFT), yielding, to date, the most efficient and scalable, quadratic size, linear depth circuit for the basic QW. This is desirable for Noisy Intermediate-Scale Quantum (NISQ) devices, in which fewer computations implies faster execution and reduced effects of noise and decoherence.

2020年8月31日 · This yields a highly efficient and scalable, quadratic size, linear depth circuit for the basic discrete-time QW that utilizes quantum Fourier transform (QFT) to implement the shift. QFT further allows us to generalize the shift of the basic QW to unitary spatial convolutions.

Certainly generic BASIC pages may abound, and perhaps you’ll find the proper solace in those, but of GW the list is preciously short. The potential extinction, besides a dry encyclopedic entry here or there, tickled my anxiety and interest enough to build the site before you.

We implement the shift using the quantum Fourier transform (QFT), yielding, to date, the most efficient and scalable, quadratic size, linear depth circuit for the basic QW. This is desirable for Noisy Intermediate-Scale Quantum (NISQ) devices, in which fewer computations implies faster execution and reduced effects of noise and decoherence.

2024年11月28日 · These are the deep waters that QwQ (Qwen with Questions) wades into. Like an eternal student of wisdom, it approaches every problem - be it mathematics, code, or knowledge of our world - with genuine wonder and doubt. QwQ embodies that ancient philosophical spirit: it knows that it knows nothing, and that’s precisely what drives its curiosity.

This training course shows you the elements of the Basic programming language. Basic Training covers the essentials to get you started. Advanced Basic (available only to registered users), picks up from that point and covers areas such as animation, error …

2025年3月6日 · 【阿里 推出全新推理模型 仅1/21参数媲美DeepSeek R1】阿里Qwen团队正式发布他们最新的研究成果——QwQ-32B大语言模型，QwQ-32B在仅有DeepSeek-R1约1/21参数 …