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  • Can machine learning be done purely by talking without doing numerical calculations? A new ML paradigm based on natural language is coming
    Can machine learning be done purely by talking without doing numerical calculations? A new ML paradigm based on natural language is coming
    The AIxiv column is a column where this site publishes academic and technical content. In the past few years, the AIxiv column of this site has received more than 2,000 reports, covering top laboratories from major universities and companies around the world, effectively promoting academic exchanges and dissemination. If you have excellent work that you want to share, please feel free to contribute or contact us for reporting. Submission email: liyazhou@jiqizhixin.com; zhaoyunfeng@jiqizhixin.com The author of this article, Xiao Zhenzhong, is a doctoral student at the Max Planck Institute for Intelligent Systems and the University of Tübingen in Germany. Robert Bamler is a professor of machine learning at the University of Tübingen. , Bernhard Schölkopf was Max Planck-
    AI 411 2024-06-22 02:06:40
  • Beat GPT-4o! The new king Claude 3.5 Sonnet is here, available directly for free
    Beat GPT-4o! The new king Claude 3.5 Sonnet is here, available directly for free
    Nowadays, the field of large models is even more exciting! On the front foot, OpenAI released GPT4o, which controlled the entire field, but on the back foot, it was surpassed by its largest competitor Anthropic. Just now, Anthropic released a new large model Claude3.5Sonnet, which is claimed to be the smartest model to date. According to reports, Claude3.5Sonnet is the first version of Anthropic’s upcoming Claude3.5 series. This model has improved the intelligence level of the entire field, surpassing competing large models and the most powerful Claude3Opus of its predecessor in most benchmark evaluations. At the same time, the running speed and cost are equivalent to that of its previous generation Claude3Sonnet. Address: ht
    AI 911 2024-06-22 01:08:30
  • Luma and Runway take turns to explode, and video generation reaches new heights. Can Sora still dominate? Come to this WAIC video generation forum to find answers
    Luma and Runway take turns to explode, and video generation reaches new heights. Can Sora still dominate? Come to this WAIC video generation forum to find answers
    When PIKA was released in 2023, Musk concluded that 2024 would be the first year of “artificial intelligence movies.” At the beginning of the year, Sora made a stunning debut, killing everyone. Then Stable Video Diffusion, LTX Studio, and Google Veo took turns to explode, and then more recently, Keling, Luma, and Runway competed... In just half a year, many AI video applications have sprung up, not only It pushes video generation technology to new heights, expands the application scope of AI video, and gives more possibilities in the future. Nowadays, the development of multi-modal capabilities has become the general trend of AIGC applications. With the continuous improvement of video generation technology and the increasing number of AI+ industry directions
    AI 1070 2024-06-21 22:00:23
  • Tencent opens source training code for Hunyuan Wensheng graph large model and releases LoRA and ControlNet plug-ins
    Tencent opens source training code for Hunyuan Wensheng graph large model and releases LoRA and ControlNet plug-ins
    On June 21, Tencent Hunyuan Wenshengtu large model (hereinafter referred to as Hunyuan DiT model) announced that it will fully open source the training code, and at the same time open source the Hunyuan DiTLoRA small-scale data set training solution and the controllable plug-in ControlNet. This means that enterprises and individual developers and creators around the world can fine-tune based on Hunyuan DiT training code, create more personalized exclusive models, and create with greater freedom; or based on Hunyuan DiT Modify and optimize the code, build your own applications based on this, and promote rapid iteration and innovation of technology. As a native Chinese model, users can directly use Chinese data and labels when fine-tuning through Hunyuan DiT's training code, without having to translate the data into English. Previously,
    AI 1054 2024-06-21 20:44:10
  • Kuaishou's 'Keling' explodes: a huge shock in overseas AI circles, the Chinese version of Sora is hard to find
    Kuaishou's 'Keling' explodes: a huge shock in overseas AI circles, the Chinese version of Sora is hard to find
    Just one year later, the AI-generated "eating noodles" has become so natural and smooth? This shocked netizens around the world. Source: https://x.com/CharaspowerAI/status/1799494388462063632 The generated videos on the right come from the Wensheng video model "Kling" just launched by Kuaishou. It is not a pre-release or a pure demo collection, but a product-level application that is directly open for testing, and everyone can apply. Moreover, Keling supports the generation of 1080P videos of up to 2 minutes and 30fps, focusing on "one-click conversion" from brainstorming to publishable works. (Official website address: https://kling.kuai
    AI 597 2024-06-21 01:13:40
  • From the college entrance examination to the Olympic arena: the ultimate battle between large models and human intelligence
    From the college entrance examination to the Olympic arena: the ultimate battle between large models and human intelligence
    The AIxiv column is a column where this site publishes academic and technical content. In the past few years, the AIxiv column of this site has received more than 2,000 reports, covering top laboratories from major universities and companies around the world, effectively promoting academic exchanges and dissemination. If you have excellent work that you want to share, please feel free to contribute or contact us for reporting. Submission email: liyazhou@jiqizhixin.com; zhaoyunfeng@jiqizhixin.com The research team of Shanghai Jiao Tong University’s Generative Artificial Intelligence Laboratory (GAIRLab)’s main research directions are: large model training, alignment and evaluation. Team homepage: https://plms.ai/ In the next 20 years, AI is expected to surpass humans
    AI 605 2024-06-20 21:14:41
  • Surpassing the CVPR 2024 method, DynRefer achieves multiple SOTAs in regional-level multi-modal recognition tasks
    Surpassing the CVPR 2024 method, DynRefer achieves multiple SOTAs in regional-level multi-modal recognition tasks
    In order to achieve high-precision regional-level multi-modal understanding, this paper proposes a dynamic resolution scheme to simulate the human visual cognitive system. The authors of this article are from the LAMP Laboratory of the University of Chinese Academy of Sciences. The first author Zhao Yuzhong is a doctoral student of the University of Chinese Academy of Sciences in 2023, and the co-author Liu Feng is a direct doctoral student of the University of Chinese Academy of Sciences in 2020. Their main research directions are visual language models and visual object perception. Introduction DynRefer significantly improves regional-level multi-modal recognition capabilities by simulating the human visual cognitive process. By introducing the dynamic resolution mechanism of the human eye, DynRefer can simultaneously complete region recognition, region attribute detection and region-level caption generation (region-levelcaptionin) with a single model.
    AI 614 2024-06-20 20:31:51
  • All CVPR 2024 awards announced! Nearly 10,000 people attended the conference offline, and a Chinese researcher from Google won the best paper award
    All CVPR 2024 awards announced! Nearly 10,000 people attended the conference offline, and a Chinese researcher from Google won the best paper award
    In the early morning of June 20th, Beijing time, CVPR2024, the top international computer vision conference held in Seattle, officially announced the best paper and other awards. This year, a total of 10 papers won awards, including 2 best papers and 2 best student papers. In addition, there were 2 best paper nominations and 4 best student paper nominations. The top conference in the field of computer vision (CV) is CVPR, which attracts a large number of research institutions and universities every year. According to statistics, a total of 11,532 papers were submitted this year, and 2,719 were accepted, with an acceptance rate of 23.6%. According to Georgia Institute of Technology’s statistical analysis of CVPR2024 data, from the perspective of research topics, the largest number of papers is image and video synthesis and generation (Imageandvideosyn
    AI 2164 2024-06-20 17:43:03
  • All speakers for VueConf 2024 have been confirmed and will be held in Shenzhen on July 6
    All speakers for VueConf 2024 have been confirmed and will be held in Shenzhen on July 6
    VueConf2024 will be held in Shenzhen on July 6. The countdown phase has now entered. Conference website: https://vueconf.cnVue.js The author You Yuxi will attend this conference and deliver a keynote speech. Speakers This conference will have 9 sharing guests to share with you! The speech topics will have a total of 9 sharing topics and 1 lightning sharing. 8 sharing themes and lightning sharing themes are now announced to you. The theme of You Yuxi’s speech will be announced on site! Keynote Speech Sharer: You Yuxi Ten Years Sharer: Vue.js core team member Zhao Jinjiang (Jinjiang) Keynote Introduction He will share his journey of joining the Vue core team for ten years (2014-2024). I hope this
    AI 1266 2024-06-20 14:00:58
  • New work by Andrew Ng's team: multi-modal and multi-sample context learning, quickly adapting to new tasks without fine-tuning
    New work by Andrew Ng's team: multi-modal and multi-sample context learning, quickly adapting to new tasks without fine-tuning
    The AIxiv column is a column where this site publishes academic and technical content. In the past few years, the AIxiv column of this site has received more than 2,000 reports, covering top laboratories from major universities and companies around the world, effectively promoting academic exchanges and dissemination. If you have excellent work that you want to share, please feel free to contribute or contact us for reporting. Submission email: liyazhou@jiqizhixin.com; zhaoyunfeng@jiqizhixin.com This study evaluates multi-sample context learning of an advanced multi-modal base model on 10 data sets, revealing continuous performance improvements. Batch queries significantly reduce per-example latency and inference cost without sacrificing performance. These findings indicate that using a large number of demonstration examples can
    AI 1304 2024-06-19 20:58:55
  • ICLR 2024 Oral | To deal with distribution shifts that change over time, the University of Western Ontario and others proposed a learning time series trajectory method
    ICLR 2024 Oral | To deal with distribution shifts that change over time, the University of Western Ontario and others proposed a learning time series trajectory method
    The AIxiv column is a column where this site publishes academic and technical content. In the past few years, the AIxiv column of this site has received more than 2,000 reports, covering top laboratories from major universities and companies around the world, effectively promoting academic exchanges and dissemination. If you have excellent work that you want to share, please feel free to contribute or contact us for reporting. Submission email: liyazhou@jiqizhixin.com; zhaoyunfeng@jiqizhixin.com The author Zeng Qiulin graduated from Harbin Institute of Technology and received a master's degree from the National University of Singapore. Under the guidance of Professor Wang Bo and Academician Ling Xiaofeng, during his doctoral period, he mainly carried out theoretical demonstration, method and application research on the distribution of random time changes. Already at ICLR
    AI 767 2024-06-19 20:45:51
  • How large models can solve data dilemmas, WAIC experts from industry, academia and research discuss ways to break through
    How large models can solve data dilemmas, WAIC experts from industry, academia and research discuss ways to break through
    In the AGI era, large model technology has brought disruptive changes to the industry. The rapid iteration of large model technology cannot be separated from the support of massive data. The flow and sharing of high-quality professional data is an important link in promoting the accelerated development of large model technology applications. However, while large models create huge value, they also bring security and privacy challenges to the large-scale application of data. Providers of high-quality industry data are worried that large models will "remember" plaintext training data, resulting in loss of data value, so they are reluctant to provide industry data; information when users access large models may also be illegally collected and used by the model parties, resulting in personal privacy and the risk of trade secrets being disclosed. Privacy computing is of great significance and value for solving the data security and privacy issues that exist in this process. by World Artificial Intelligence Conference
    AI 308 2024-06-19 20:36:42
  • 'Resurrection' of ancient biological molecules, AI solves antibiotic resistance, two papers published by Fudan University and Penn University collaborative teams were published in Cell and Nature sub-journals
    'Resurrection' of ancient biological molecules, AI solves antibiotic resistance, two papers published by Fudan University and Penn University collaborative teams were published in Cell and Nature sub-journals
    Editor | Radish peel antibiotic-resistant infections cause about 1.27 million deaths worldwide every year. It is expected that by 2050, without effective new drugs, the number of deaths will reach 10 million people every year. Therefore, urgent measures are needed to deal with antibiotic resistance. . Cesardela Fuente, Presidential Assistant Professor at the University of Pennsylvania, said: "Even if you feel better, make sure you complete your course of antibiotics. This is a medical mantra that many people have heard but often ignore." He explained that this sentence is crucial Importantly, failure to comply may affect the effectiveness of antibiotics. "In recent decades, this has led to an increase in drug-resistant bacteria, a global health crisis
    AI 597 2024-06-19 17:15:12
  • Squirrel AI's new multi-modal intelligent adaptive large model launch conference was held, and the intelligent adaptive education software and hardware were fully upgraded.
    Squirrel AI's new multi-modal intelligent adaptive large model launch conference was held, and the intelligent adaptive education software and hardware were fully upgraded.
    Recently, the launch conference of Squirrel AI's new multi-modal intelligent adaptive large model was grandly held in Shanghai. This conference was an unprecedented event, not only shockingly announcing the comprehensive upgrade of Squirrel AI multi-modal intelligent adaptive education model and system, but also launching a number of new intelligent adaptive education hardware products. With the comprehensive innovation of software and hardware ecology, Squirrel AI not only demonstrated its comprehensive breakthrough in the field of educational technology, but also announced the arrival of a new era of intelligent adaptive education. The large model of intelligent adaptive education has been significantly upgraded, moving towards a new era of multi-modal large models. At this release, Squirrel AI has unveiled a major upgraded model of intelligent adaptive education. The three dimensions of modal intelligent human-computer interaction and multi-modal intelligent testing and evaluation have achieved comprehensive iteration, marking the realization of educational technology
    AI 839 2024-06-19 17:12:29
  • Zhiyuan updated the ranking of large models: Doubao large model ranked first in China in 'objective evaluation'
    Zhiyuan updated the ranking of large models: Doubao large model ranked first in China in 'objective evaluation'
    The FlagEval evaluation platform released the latest list. In the "objective evaluation" released in mid-June, GPT-4 ranked first among closed-source large models, Doubao-Pro (bean bag large model) ranked second, and also had the highest score. A large domestic model; followed by ERNIE4.0, Baichuan3, Moonshot-v1, etc. In the open answer evaluation, Doubao-Pro also ranked second, scoring more than GPT-4o and GPT-4. New technologies continue to emerge, and only platforms that can continue to pay attention to and adapt to new technologies can remain invincible in this highly competitive market. Word count: 114 Pictures: The large bean bag model won the second overall score in FlagEval’s objective evaluation (
    AI 897 2024-06-19 14:05:01

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