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百万美刀

百万美刀

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05-13

必须打

05-10

研究显示：每晚睡前一小时喝一杯热牛奶，会比不喝牛奶的人多花几块钱

03-06

那肯定是抄袭了代码

阿里推出全新推理模型，仅1/20参数媲美DeepSeek R1

02-18

好东西。以后不断赚钱

02-13

$ProShares Ultra Bitcoin ETF(BITU)$ 早日起来。最近BTC就是一个蒸荡行情

01-29

红包大作战

01-29

新年快乐举杯敬此年

01-26

乐翻天

01-24

$美元/离岸人民币(USDCNH.FOREX)$

01-20

准备好了，继续大赚

01-12

梦回 2024 年

01-07

$GraniteShares 2x Long NVDA Daily ETF(NVDL)$ 还可以，功夫不负有心人

2024-12-28

耐心和信心。然后反应速度

2024-12-23

马上到20w，大家等着上车

2024-12-08

活动活动赚钱

2024-12-03

$GraniteShares 2x Long COIN Daily ETF(CONL)$ 又赚了

2024-11-29

在 coin 吃到了肉

2024-11-20

$GraniteShares 2x Long NVDA Daily ETF(NVDL)$ 回本了

2024-11-15

$特斯拉(TSLA)$ 350能到？

去老虎APP查看更多动态

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overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\n阿里推出全新推理模型，仅1/20参数媲美DeepSeek R1\n</h2>\n\n<h4 class=\"meta\">\n\n\n<a class=\"head\" href=\"https://laohu8.com/wemedia/102\">\n\n\n<div class=\"h-thumb\" style=\"background-image:url(https://static.tigerbbs.com/8274c5b9d4c2852bfb1c4d6ce16c68ba);background-size:cover;\"></div>\n\n<div class=\"h-content\">\n<p class=\"h-name\">老虎资讯综合 </p>\n<p class=\"h-time\">2025-03-06 06:45</p>\n</div>\n\n</a>\n\n\n</h4>\n\n</header>\n<article>\n<html><head></head><body><p>3月6日，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1/20参数量的情况下， 用强化学习，实现了性能上的惊人跨越！</p><p>官方给出基准评测结果，涵盖了数学推理、代码能力和通用问题解决等多个方面。从数据中我们可以清晰地看到，在 AIME24 和 IFEval 等关键基准测试中，QwQ-32B 的表现甚至略微超过了参数量巨大的 DeepSeek-R1！ 而在其他基准测试中，也基本与 DeepSeek-R1 持平，远超其他对比模型。</p><p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/be9cced590091aba4ccdef45108774c3\" tg-width=\"822\" tg-height=\"477\"/></p></body></html>\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"https://static.tigerbbs.com/ca2161e8ddb469de4171b1fb09459c6b","relate_stocks":{"BK4554":"元宇宙及AR概念","LU2226246903.HKD":"ALLIANZ TOTAL RETURN ASIAN EQUITY \"AT4\" (HKD) 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