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- From RLHF to DPO to TDPO, large model alignment algorithms are already 'token-level'
- 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 In the development process of artificial intelligence, the control and guidance of large language models (LLM) has always been one of the core challenges, aiming to ensure that these models are both powerful and safe serve human society. Early efforts focused on reinforcement learning methods through human feedback (RL
- AI 870 2024-06-24 15:04:43
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- Why have you given up on LangChain?
- Perhaps from the day it was born, LangChain was destined to be a product with polarizing reputations. Those who are optimistic about LangChain appreciate its rich tools and components and its ease of integration, while those who are not optimistic about LangChain believe that it is doomed to fail - in this era of rapid technological change, it is simply not feasible to build everything with LangChain. Even more exaggerated: "In my consulting work, I spend 70% of my energy convincing people not to use langchain or llamaindex. This solves 90% of their problems." Recently, a LangChain complaint became a hot topic again Discussion focus: The author FabianBoth is an AI testing tool O
- AI 1214 2024-06-24 14:20:32
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- ICML 2024 | Feature pollution: Neural networks learn irrelevant features and fail to generalize
- Paper title: FeatureContamination: NeuralNetworksLearnUncorrelatedFeaturesandFailtoGeneralize Paper link: https://arxiv.org/pdf/2406.03345 Code link: https://github.com/trzhang0116/feature-contamination With the achievements of large models represented by GPT in recent years A huge success, the machine learning paradigm of deep neural network + SGD + scaling once again proved its dominance in the field of AI. why based on
- AI 932 2024-06-24 14:17:11
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- CVPR 24｜ETH Zurich and other teams: Redefining the small sample 3D segmentation task, the new benchmark opens up broad potential for improvement!
- 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 first author of this article, An Zhaochong, is currently studying for a PhD at the University of Copenhagen, under the supervision of Serge Belongie. He graduated from the Federal Institute of Technology in Zurich (ETHZurich) with a master's degree. During his master's degree, he worked under the guidance of his mentor Luc Van
- AI 920 2024-06-24 14:05:51
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- ByteDouBao's new image Tokenizer: only 32 tokens are needed to generate an image, and the speed is increased by up to 410 times.
- 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 In the rapid development of generative models, ImageTokenization plays a very important role, such as VAE that Diffusion relies on or VQGAN that Transformer relies on. These Tokes
- AI 1257 2024-06-24 14:03:31
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- Huawei Cloud uses Pangu large model to reshape services, and ModelArts Studio is fully upgraded
- Huawei Developer Conference 2024 will be held in Dongguan. At the conference, Huawei released the latest progress in HarmonyOSNext, Pangu Model 5.0 and other aspects, and introduced a series of application cases of advanced AI technologies. Zhang Yuxin, CTO of Huawei Cloud, said: "Based on the capabilities of the Pangu model, Huawei Cloud has reshaped a series of cloud services and created an AINative cloud to help make thousands of industries intelligent." According to reports, Huawei Cloud combines the capabilities of the Pangu model and Huawei's Combining the data and experience accumulated in various fields such as product research and development, data governance, security protection, and business operation and maintenance, we "jumped our own parachute" and applied it to Huawei Cloud CodeArts, DataArts, MetaStudio, GaussDB, and cloud security.
- AI 454 2024-06-22 11:55:38
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- First-hand review of Claude 3.5: Is it really better than GPT-4o for playing tricks, seeing a doctor, playing tricks, and doing math problems?
- Editor of the report on the power of machines: Yang Wen plays tricks, sees doctors, plays tricks, and does math problems. Is the ability of "new king" Claude 3.5 really that mysterious? It's coming, it's coming, it's coming with Claude3.5Sonnet! After being dormant for three months, just last night, OpenAI’s “strong rival” Anthropic launched a new generation model-Claude3.5Sonnet! What’s unique about this large model? First, it has a better grasp of nuance, humor, and complex instructions, and the writing tone is more natural and approachable. It’s also Anthropic’s strongest visual model, excelling at tasks like interpreting charts, graphs, or transcribing text from imperfect images. In addition, it is used in reasoning, reading comprehension
- AI 1172 2024-06-22 07:46:19
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- Covering text, positioning and segmentation tasks, Zhiyuan and Hong Kong Chinese jointly proposed the first multi-functional 3D medical multi-modal large model
- Author | Editor Bai Fan, The Chinese University of Hong Kong | ScienceAI Recently, the Chinese University of Hong Kong and Zhiyuan jointly proposed the M3D series of work, including M3D-Data, M3D-LaMed and M3D-Bench, to promote 3D medical images from all aspects of data sets, models and evaluations Development of analytics. (1) M3D-Data is currently the largest 3D medical image data set, including M3D-Cap (120K3D image and text pairs), M3D-VQA (510K question and answer pairs), M3D-Seg (150K3DMask), M3D-RefSeg (3K inference segmentation ) in total four sub-datasets. (2) M3D-LaMed is currently the most versatile 3D medical multi-modal large model that can
- AI 813 2024-06-22 07:16:49
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- Whether it's real or AI video, 'Mosca” can reconstruct and restore 4D dynamic renderable scenes.
- 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 Lei Jiahui is a doctoral student in the Department of Computer Science at the University of Pennsylvania (2020-present). His supervisor is Professor KostasDaniilidis. His current main research direction is the modeling and representation of four-dimensional dynamic scene geometry. Algorithms and applications. He is in computer vision
- AI 808 2024-06-22 07:09:52
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- Automatically identify the best molecules and reduce synthesis costs. MIT develops a molecular design decision-making algorithm framework
- Editor | Ziluo AI’s use in streamlining drug discovery is exploding. Screen billions of candidate molecules for those that may have properties needed to develop new drugs. There are so many variables to consider, from material prices to the risk of error, that weighing the costs of synthesizing the best candidate molecules is no easy task, even if scientists use AI. Here, MIT researchers developed SPARROW, a quantitative decision-making algorithm framework, to automatically identify the best molecular candidates, thereby minimizing synthesis costs while maximizing the likelihood that the candidates have the desired properties. The algorithm also determined the materials and experimental steps needed to synthesize these molecules. SPARROW takes into account the cost of synthesizing a batch of molecules at once, since multiple candidate molecules are often available
- AI 1242 2024-06-22 06:43:34
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- WAIC Forum Registration｜Gathering together many central state-owned enterprises and AI companies to discuss the integrated development of industries
- As the engine of new productivity, artificial intelligence is rapidly integrating with thousands of industries. On March 5, Premier Li Qiang of the State Council introduced the government's work tasks this year in his government work report, proposing to deepen the research and development applications of big data, artificial intelligence, etc., carry out the "artificial intelligence +" action, and create an internationally competitive digital industry cluster. Since then, the strategy of artificial intelligence empowering industrial development has accelerated. In order to further assist the process of "artificial intelligence +", showcase and share the experiences of successful explorers, and facilitate cooperation between supply and demand parties in the field of artificial intelligence, this site hosted the key experiment of the Ministry of Industry and Information Technology for the evaluation of artificial intelligence scenario application and intelligent systems. "2024WAIC Artificial Intelligence Empowers Industrial Integration Development" co-organized by the Office
- AI 1255 2024-06-22 04:59:29
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- Xiaoice and ShiMeta co-create ShiMeta digital human solution: with the blessing of large models, every large-screen terminal becomes a new interactive carrier
- On June 21, 2024, Xiaoice and ShiMeta, a leading AIoT company, announced a strategic cooperation to jointly launch the ShiMeta digital human solution. The two parties jointly create various forms of digital human intelligent interactive large-screen terminals, integrating Xiaoice's AI large model and digital human technology with Shimatel's rich hardware business ecosystem, allowing digital humans to enter various industry scenarios and serve Qianxing. Baiye injects new productivity, improves user experience and service efficiency, and brings more intelligent changes. XiaoIce × Simatech: The rich hardware business ecological solution combines Xiaoice's large models and advanced digital human technologies such as neural network rendering and super natural speech with Simatech's high-performance motherboards, high-definition cameras, microphone arrays, equipment management platforms, etc. Conducted in-depth integration to realize large-screen terminals
- AI 679 2024-06-22 02:22:30
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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
- 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 500 2024-06-22 02:06:40
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- 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 1247 2024-06-22 01:08:30
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- 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 1256 2024-06-21 22:00:23
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