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SFT Shift Technologies, Inc.
退市 07-10 07:44:24 EDT
0.1703
+0.0000
0.00%
最高
0.1703
最低
0.1703
成交量
0.00
今开
0.1703
昨收
0.1703
日振幅
0.00%
总市值
289.49万
流通市值
214.35万
总股本
1,700万
成交额
3,939万
换手率
0.00%
流通股本
1,259万
市净率
--
ROE
--
每股收益
0.00
52周最高
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52周最低
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市盈率
--
股息
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股息收益率
--
ROA
--
分时
五日
日K
周K
月K
数据加载中...
北京优虎网络科技有限公司
资讯
新帖
简况
豆蔻妇科大模型再突破:钉钉行业训练平台+精标数据SFT ,准确率从 77.1%上升至 90.2%
市场资讯 · 07:39
豆蔻妇科大模型再突破:钉钉行业训练平台+精标数据SFT ,准确率从 77.1%上升至 90.2%
智谱再融10亿!获上海国资押注,开源视觉大模型,能解说球赛,还会玩手机
市场资讯 · 07-02
智谱再融10亿!获上海国资押注,开源视觉大模型,能解说球赛,还会玩手机
10B级模型SOTA,超8倍参数“大”模型,智谱开源GLM-4.1V-Thinking
市场资讯 · 07-02
10B级模型SOTA,超8倍参数“大”模型,智谱开源GLM-4.1V-Thinking
AI字幕慢半拍,不知道大家笑什么?新方法让同传性能直逼离线翻译
市场资讯 · 06-30
AI字幕慢半拍,不知道大家笑什么?新方法让同传性能直逼离线翻译
强化学习新发现:无需数学样本,仅游戏训练AI推理大增
市场资讯 · 06-24
强化学习新发现:无需数学样本,仅游戏训练AI推理大增
我在哪?要去哪?字节跳动Astra双模型架构助力机器人自由导航
市场资讯 · 06-23
我在哪?要去哪?字节跳动Astra双模型架构助力机器人自由导航
沉迷贪吃蛇,7B小模型竟变身“数学天才”!几何推理碾压GPT-4o
市场资讯 · 06-17
沉迷贪吃蛇,7B小模型竟变身“数学天才”!几何推理碾压GPT-4o
Kimi新模型拿下代码开源SOTA,仅仅72B,发布即开源
市场资讯 · 06-17
Kimi新模型拿下代码开源SOTA,仅仅72B,发布即开源
SFT+RL双管齐下:ReasonGen-R1如何破解文生图“指令不遵”难题?
市场资讯 · 06-16
SFT+RL双管齐下:ReasonGen-R1如何破解文生图“指令不遵”难题?
通义实验室最新成果WebDancer:自主智能Deep Research的新时代
市场资讯 · 06-12
通义实验室最新成果WebDancer:自主智能Deep Research的新时代
OpenAI没做到,DeepSeek搞定了!开源引爆推理革命
新智元 · 05-24
OpenAI没做到,DeepSeek搞定了!开源引爆推理革命
“推理革命”爆发100天:DeepSeek-R1复现研究全揭秘
新智元 · 05-05
“推理革命”爆发100天:DeepSeek-R1复现研究全揭秘
DeepSeek新数学模型刷爆记录!7B小模型自主发现671B模型不会的新技能
量子位 · 05-01
DeepSeek新数学模型刷爆记录!7B小模型自主发现671B模型不会的新技能
字节跳动最新思考模型Seed-Thinking-v1.5技术细节公开,4月17日开放接口
IT之家 · 04-14
字节跳动最新思考模型Seed-Thinking-v1.5技术细节公开,4月17日开放接口
干货满满!关于Deepseek,基金经理最关心的事······
新浪基金 · 02-20
干货满满!关于Deepseek,基金经理最关心的事······
刚刚,DeepSeek发新成果!梁文锋亲自参与,实习生挑大梁,显著加速AI训练推理
智东西 · 02-18
刚刚,DeepSeek发新成果!梁文锋亲自参与,实习生挑大梁,显著加速AI训练推理
科大讯飞:纯国产算力的星火 X1 新版本预计在 3 月内完成,全面对标甚至超过 OpenAI o1
IT之家 · 02-13
科大讯飞:纯国产算力的星火 X1 新版本预计在 3 月内完成,全面对标甚至超过 OpenAI o1
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公司概况
公司名称:
Shift Technologies, Inc.
所属市场:
NASDAQ
上市日期:
--
主营业务:
Shift Technologies, Inc.于2018年3月13日在特拉华州成立。该公司是一家以消费者为中心的全渠道零售商,通过利用其端到端电子商务平台和零售地点提供技术驱动、无忧的客户体验,改变了二手车行业。该公司在加州和俄勒冈州拥有三个市场,客户可以在这里试驾车辆,并在销售过程中的任何一个环节与销售伙伴合作。
发行价格:
--
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12:22","pubTimestamp":1751430120,"startTime":"0","endTime":"0","summary":"智谱正式发布 GLM-4.1V-Thinking 系列模型,并率先开源GLM-4.1V-9B-Thinking,标志着智谱 GLM 视觉大模型向高阶认知迈出了关键一步。在 18 项权威评测中,GLM-4.1V-9B-Thinking 的表现已可比肩甚至超越参数量高达 72B 的 Qwen2.5-VL-72B,充分展示出结构设计与训练策略的先进性与效率。模型原理1. 模型架构GLM-4.1V-Thinking 模型架构由三个核心模块组成:视觉编码器、多层感知机适配器以及语言解码器。2训练流程GLM-4.1V-Thinking 的训练过程分为三个阶段:预训练、监督微调 和 强化学习。","market":"sg","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://finance.sina.com.cn/stock/t/2025-07-02/doc-infczzsq2682912.shtml","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"sina","symbols":["SFT","BK4202","BK4214","LU0006061336.USD","RL","BK4585","BK4588"],"gpt_icon":0},{"id":"2547018030","title":"AI字幕慢半拍,不知道大家笑什么?新方法让同传性能直逼离线翻译","url":"https://stock-news.laohu8.com/highlight/detail?id=2547018030","media":"市场资讯","labels":[],"top":-1,"itemType":null,"share":"https://www.laohu8.com/m/news/2547018030?lang=zh_cn&edition=full","pubTime":"2025-06-30 21:29","pubTimestamp":1751290140,"startTime":"0","endTime":"0","summary":"来自香港中文大学、字节跳动 Seed 和斯坦福大学的研究团队联手提出了一种面向同声传译的序贯策略优化框架 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16:46","pubTimestamp":1750754760,"startTime":"0","endTime":"0","summary":"最近,强化学习领域出现了一个颠覆性发现:研究人员不再需要大量数学训练样本,仅仅让 AI 玩简单游戏,就能显著提升其数学推理能力。此前已有研究发现,即使不提供标准答案,仅用数学问题进行强化学习也能提高模型性能,这让人们开始重新思考强化学习的训练方式。执行后会从环境获得奖励,用于进行强化学习。两款游戏的设计哲学互补:贪吃蛇主要提升 2D 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双模型架构揭秘,赋能机器人高效导航1. Astra-Global:全局定位的智慧大脑Astra-Global 作为 Astra 架构中的重要组成部分,犹如智慧大脑,承担着关键的低频任务,即自我定位和目标定位。在实际定位过程中,Astra-Global 的自定位与目标定位功能展现出独特的优势。图3: Astra-Local 架构4D 时空编码器是 Astra-Local 的基础组件,它旨在取代传统移动性堆栈中的感知和预测模块。","market":"hk","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://finance.sina.com.cn/stock/t/2025-06-23/doc-infcahph9900776.shtml","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"sina","symbols":["SFT","BK4214"],"gpt_icon":0},{"id":"2544993277","title":"沉迷贪吃蛇,7B小模型竟变身“数学天才”!几何推理碾压GPT-4o","url":"https://stock-news.laohu8.com/highlight/detail?id=2544993277","media":"市场资讯","labels":[],"top":-1,"itemType":null,"share":"https://www.laohu8.com/m/news/2544993277?lang=zh_cn&edition=full","pubTime":"2025-06-17 13:43","pubTimestamp":1750138980,"startTime":"0","endTime":"0","summary":"通过让7B参数的多模态模型玩贪吃蛇和3D旋转等街机游戏,AI不仅掌握了游戏技巧,还培养出强大的跨领域推理能力,在数学、几何等复杂任务上击败GPT-4o等顶级模型。但让人没想到的是,通过游戏的训练,这个AI还可以成为一位“数学天才”!结果显示,一个沉迷于街机游戏的7B参数MLLM,竟然在复杂的数学和几何推理任务上,一举击败了GPT-4o这样的顶级闭源大模型。","market":"sg","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://finance.sina.com.cn/stock/t/2025-06-17/doc-infakiik8699086.shtml","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"sina","symbols":["SFT","BK4214"],"gpt_icon":0},{"id":"2544934463","title":"Kimi新模型拿下代码开源SOTA,仅仅72B,发布即开源","url":"https://stock-news.laohu8.com/highlight/detail?id=2544934463","media":"市场资讯","labels":[],"top":-1,"itemType":null,"share":"https://www.laohu8.com/m/news/2544934463?lang=zh_cn&edition=full","pubTime":"2025-06-17 12:58","pubTimestamp":1750136280,"startTime":"0","endTime":"0","summary":"深夜,沉寂已久的Kimi突然发布了新模型——开源代码模型Kimi-Dev,在SWE-bench Verified上以60.4%的成绩取得开源SOTA。Kimi-Dev采用MIT协议,目前权重和代码均已发布,还有网友制作的量化版本也已在抱抱脸上线。具体来说,Kimi团队收集了数百万个GitHub issue和PR提交,目的是让Kimi-Dev-72B能够学习人类开发人员如何推理并解决GitHub问题。","market":"hk","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://finance.sina.com.cn/stock/t/2025-06-17/doc-infakazm6738869.shtml","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"sina","symbols":["BK4214","SFT"],"gpt_icon":0},{"id":"2543678781","title":"SFT+RL双管齐下:ReasonGen-R1如何破解文生图“指令不遵”难题?","url":"https://stock-news.laohu8.com/highlight/detail?id=2543678781","media":"市场资讯","labels":[],"top":-1,"itemType":null,"share":"https://www.laohu8.com/m/news/2543678781?lang=zh_cn&edition=full","pubTime":"2025-06-16 17:22","pubTimestamp":1750065720,"startTime":"0","endTime":"0","summary":"ReasonGen-R1 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