Models关键词检索结果

超越文本压缩:评估跨量表的引物

Beyond Text Compression: Evaluating Tokenizers Across Scales

令牌设计师的设计显着影响语言模型性能,但是评估令牌质量仍然具有挑战性。尽管文本压缩已成为一种常见的内在度量,但最近的工作质疑其作为质量指标的可靠性。 We investigate whether evaluating tokenizers on smaller models (350M parameters) reliably predicts their impact at larger scales (2.7B parameters).Through experiments with established tokenizers from widely-adopted language m

speakstream:带有交织数据的流式传输到语音

SpeakStream: Streaming Text-to-Speech with Interleaved Data

With the increasing integration of speech front-ends and large language models (LLM),there is a need to explore architectures that integrate these modalities.While end-to-end models have been explored extensively, cascaded models that stream outputs from LLMs to TTS seem to be oddly under-explored,

川崎Ki-32'玛丽'以1/32的比例

Kawasaki Ki-32 'Mary' in 1/32 scale by Harvey Low

川崎的矮胖的Ki-32“玛丽”轻型轰炸机在建模方面是很稀有的,而1/72量表中的可用塑料套件都没有做到这一类型正义。 1985年的梅林(Merlin)套件(Merlin Kit)的所有粗鲁都设法捕捉了飞机的平板侧特征,但是建造和完善的挑战。现在,哈维·洛(Harvey Low)以树脂工具包的1/32比例“玛丽”(Mary)的形式分享了另一个令人惊叹的版本。然后到哈维: - '这是我的1/32 Ki-32'Mary'。 LEM Kits是来自基辅乌克兰的一家规模模型公司。该公司生产了各种鲜为人知的大型飞机。他们2023年的发行版之一是1/32日军98川崎Ki-32“玛丽”。大规模1/32日本轰炸

现代的元素寻求勤奋的机器人

Hyundai’s Metaplant Seeks Hard-Working Robots

不到三年前,这些都是乔治亚州谦虚的埃拉贝尔的裸露田地。如今,广阔的现代汽车集团元素完全是人们在谈论美国的EV和汽车制造业的未来时的想象所有者(最终)用简化的插头和充电性轻松地进入特斯拉增压器。 IONIQ9和受欢迎的Ioniq5跨界车的成功与76亿美元的Metaplant息息相关,其2025年IONIQ5在10月份就脱离了其装配线。其中包括Ioniq车型的全部资格,以北美电池的美国建造电动汽车的7,500美元消费者税收抵免,尽管这些信用额度在特朗普政府的斩波盖上。尽管如此,工厂还是为现代汽车提供了一个堡垒和一些呼吸空间,以抵抗潜在的关税,并将韩国汽车制造商领先于许多竞争对手。美国最大的EV P

每周评论2025年5月23日

Weekly Review 23 May 2025

Some interesting links that I Tweeted about in the last week (I also post these on Mastodon, Threads, Newsmast, and Bluesky):Running a coffee maker with AI: https://arstechnica.com/gadgets/2025/05/the-tinkerers-who-opened-up-a-fancy-coffee-maker-to-ai-brewing/ But can it make a really good cup of te

复杂和智能系统,第11卷,第5期,2025年5月

Complex & Intelligent Systems, Volume 11, Issue 5, May 2025

1)用轻量级的切片型陷阱预测沿海地区船只的轨迹自我关注的人:Jinxu Zhang,Jin Liu,Jin Liu,Junxiang Wang2)基于多模式层次层次指导的深层融合和光学流动流动流动式流动驱动器集成量的微型表达斑点基于注意力的隐式多粒性超分辨率网络授课者:陈博伊,什叶派4)步态:一个空间上的注意力增强网络,没有软玛克斯的帕金森氏病早期检测员的softmax: Quessialauthor(S):Zheng Zhang,Xiao-Yun Xia,Jun Zhang6)基于人的自适应特征融合神经网络模型,用于人job fitauthor(S):Xia Xue,Feilong Wang

每周评论2025年5月9日

Weekly Review 9 May 2025

我在上周发推文的一些有趣的链接(我还将其发布在Mastodon,Threads,NewsMast和Bluesky上):英国AI Winter的简短历史:https://spectrum.ieee..org/freddy-robot-robot-british-british-british-british-ai-wintera-介绍一些流行开源的开源AI工具: https://www.kdnuggets.com/5-open-source-ai-tools-that-are-worth-your-timeAI now will lie if it allows them to accompli

为什么我没有将AI用于我的博士应用程序

Why I Didn’t Use AI for my PhD Application

However, as a member of INOMICS’ editorial board, I found that AI tools back then缺乏写一篇有关经济学主题的详尽,深入且引人入胜的文章,例如< a href =“ https://inomics.com/blog/corruption-corruption-uniquely-

每周评论2025年5月2日

Weekly Review 2 May 2025

我在上周发推文的一些有趣的链接(我还将其发布在Mastodon,Threads,NewsMast和Bluesky上):AI的计算能力渴望意味着高端数据中心很快将很快构建昂贵: https://techcrunch.com/2025/04/24/within-six-building-the-leading-the-leading-leading-ai-center-may-cost-200b/some ai:https:///wwwww.kdnuggets.com/10-free-machine-machine-machine-machine-learning-books-for-books-

AI难以模仿历史语言

AI Struggles to Emulate Historical Language

A collaboration between researchers in the United States and Canada has found that large language models (LLMs) such as ChatGPT struggle to reproduce historical idioms without extensive pretraining – a costly and labor-intensive process that lies beyond the means of most academic or entertainment in

每周评论2025年4月18日

Weekly Review 18 April 2025

Some interesting links that I Tweeted about in the last week (I also post these on Mastodon, Threads, Newsmast, and Bluesky):How you can use AI to help when you are made redundant: https://www.informationweek.com/machine-learning-ai/7-ways-generative-ai-can-help-you-survive-a-layoff No mention of wh

Llama 4 Meta的模型家族现在可以在Sagemaker Jumpstart

Llama 4 family of models from Meta are now available in SageMaker JumpStart

今天,我们很高兴地宣布亚马逊萨吉式制造商Jumpstart的Llama 4 Scout和MaverickModels的可用性。在这篇博客文章中,我们将带您了解如何使用SageMaker Jumpstart进行部署和提示Allama-4-Scout-17b-16e-Inscruct模型。

IEEE关于人工智能的交易,第6卷,第4期,2025年4月

IEEE Transactions on Artificial Intelligence, Volume 6, Issue 4, April 2025

1)通过异常控制和数据相干要求一致的反事实解释:Maria Movin,Federico Siciliano,Rui Ferreira,Fabrizio Silvestri,Gabriele tolomeipages,Gabriele tolomeipages:794-8042) Desai, Marimuthu PalaniswamiPages: 805 - 8153) Generation With Nuanced Changes: Continuous Image-to-Image Translation With Adversarial PreferencesAuthor(s): Yi

每周评论2025年3月21日

Weekly Review 21 March 2025

我在上周发推文的一些有趣链接(我还将这些链接发布在Mastodon,Threads,NewsMast和Bluesky上):缺乏数据准备工作是使AI无法在癌症治疗方面发挥潜力:https://dataConomy.com/2025/2025/2025/03/03/13/13/why-13/why-13/why-cant-cant-yet-cant-yet-yet-yet-yet-yeat-yeatiment: https://www.theregister.com/2025/03/11/minja_attack_poisons_ai_model_memory/Outdated IT is hin

OpenAI,人类和Google敦促作为我们AI领导者降低的行动

OpenAI, Anthropic, and Google Urge Action as US AI Lead Diminishes

Leading US artificial intelligence companies OpenAI, Anthropic, and Google have warned the federal government that America's technological lead in AI is “not wide and is narrowing” as Chinese models like Deepseek R1 demonstrate increasing capabilities, according to documents submitted to the US gove

每周评论2025年3月7日

Weekly Review 7 March 2025

Some interesting links that I Tweeted about in the last week (I also post these on Mastodon, Threads, Newsmast, and Bluesky):AI aren't empathetic, but they are starting to be able to fake it: https://dataconomy.com/2025/02/27/ai-is-advancing-but-can-chatbots-understand-human-feelings/Event-driven AI

使用Amazon Sagemaker Hyperpod食谱自定义DeepSeek-R1蒸馏型 - 第1部分

Customize DeepSeek-R1 distilled models using Amazon SageMaker HyperPod recipes – Part 1

在这个两部分的系列中,我们讨论了如何通过使用deepSeek-R1模型及其蒸馏变量的预先构建的微调工作流(也称为“食谱”)来减少DeepSeek模型的自定义复杂性,并作为亚马逊SageMaker HyproPod食谱的一部分发布。 In this first post, we will build a solution architecture for fine-tuning DeepSeek-R1 distilled models and demonstrate the approach by providing a step-by-step example on customizing t

每周评论2025年2月28日

Weekly Review 28 February 2025

我在上周发推文(我还将这些链接发布在Mastodon,Threads,NewsMast和Bluesky上):使用刮擦数据来训练AI并不是出于版权法的目的“变革性”: https://techcrunch.com/2025/02/17/what------us-first-major-ai-copyright-ruling-might-might-meant-mean-for-ip-----------------------for-ip-law/seems像AI不断学习的后果是,他们经历了类似于年龄的人的衰落: https://www.extremetech.com/computing/ai-