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- How can OctopusV3, with less than 1 billion parameters, compare with GPT-4V and GPT-4?
- The characteristic of multi-modal AI systems is that they can process and learn various types of data including natural language, vision, audio, etc., to guide their behavioral decisions. Recently, research on incorporating visual data into large language models (such as GPT-4V) has made important progress, but how to effectively convert image information into executable operations for AI systems still faces challenges. In order to realize the transformation of image information, a common method is to convert image data into corresponding text descriptions, and then the AI system operates based on the descriptions. This can be done by performing supervised learning on existing image data sets, allowing the AI system to automatically learn the image-to-text mapping relationship. In addition, reinforcement learning methods can also be used to learn how to make decisions based on image information by interacting with the environment. another
- AI 791 2024-05-02 16:01:01
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- In 12 video understanding tasks, Mamba first defeated Transformer
- This site publishes columns with academic and technical content. In recent 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. Exploring a new realm of video understanding, the Mamba model leads a new trend in computer vision research! The limitations of traditional architecture have been broken. The state space model Mamba has brought revolutionary changes to the field of video understanding with its unique advantages in long sequence processing. From Nanjing University, Shanghai
- AI 1546 2024-05-01 08:20:15
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- Understanding GraphRAG (1): Challenges of RAG
- RAG (RiskAssessmentGrid) is a method that enhances existing large language models (LLM) with external knowledge sources to provide more contextually relevant answers. In RAG, the retrieval component obtains additional information, the response is based on a specific source, and then feeds this information into the LLM prompt so that the LLM's response is based on this information (enhancement phase). RAG is more economical compared to other techniques such as trimming. It also has the advantage of reducing hallucinations by providing additional context based on this information (augmentation stage) - your RAG becomes the workflow method for today's LLM tasks (such as recommendation, text extraction, sentiment analysis, etc.). If we break this idea down further, based on user intent, we typically look at
- AI 1290 2024-04-30 19:10:01
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- Xiaohongshu made the intelligent agents quarrel! Jointly launched with Fudan University to launch exclusive group chat tool for large models
- Language is not only a collection of words, but also a carnival of emoticons, a sea of memes, and a battlefield for keyboard warriors (eh? What’s wrong?). How does language shape our social behavior? How does our social structure evolve through constant verbal communication? Recently, researchers from Fudan University and Xiaohongshu conducted in-depth discussions on these issues by introducing a simulation platform called AgentGroupChat. The group chat function of social media such as WhatsApp is the inspiration for the AgentGroupChat platform. On the AgentGroupChat platform, Agents can simulate various chat scenarios in social groups to help researchers deeply understand the impact of language on human behavior. Should
- AI 1290 2024-04-30 18:40:23
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- GitHub version of Devin is online, you can develop applications if you can type, Microsoft CEO: Redefine IDE
- Microsoft's "GitHub version of Devin" - Copilot WorkSpace, is finally online! WorkSpace is a new "Copilot native" development environment that aims to allow all developers to use natural language to transform ideas in their minds into applications. In other words, as long as you have an idea and can type, you can engage in software development. The all-natural language workflow of WorkSpace has also won it the title of "GitHub version of Devin" awarded by netizens. GitHub CEO Domke said that WorkSpace has surpassed Copilot's original functions and will redefine the developer experience. Microsoft CEO Nadella also mentioned again
- AI 725 2024-04-30 17:55:24
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- How to leverage artificial intelligence and machine learning in web services
- Integrating artificial intelligence technology into various products has become a game changer, especially in network service systems. The definition of artificial intelligence has expanded to include heuristics and probabilities in programming code, paving the way for more efficient data processing and problem-solving capabilities. The machine learning (ML) market is booming globally. In 2022, it will be worth approximately $19.2 billion. Experts predict that this number will soar to $225.91 billion by 2030. This article delves into the profound impact of artificial intelligence and machine learning (ML) on web services, revealing how they are revolutionizing the way we process large amounts of data. In the past few years, machine learning technology has made huge breakthroughs in various fields, especially in data processing
- AI 855 2024-04-30 17:50:01
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- What is the potential of quantum artificial intelligence?
- In the changing sands of artificial intelligence (AI), a phoenix has risen from the ashes, ushering in a new era of computational intelligence—the fusion of quantum physics and computational wizardry. Attention, readers, is the birth of quantum artificial intelligence, an epochal convergence that will redefine the trajectory of technological progress as we know it. Understanding Quantum AI: The Marriage of Quantum Mechanics and Artificial Intelligence In essence, quantum AI is like a dance between the ethereal realm of quantum physics and the computational symphony of artificial intelligence, akin to a quest between the mysterious and the algorithmic. Unlike conventional computers that falter on their binary path, quantum AI can spin gracefully on the quantum stage, wielding the mysterious allure of qubits, or qubits. These mysterious organisms are reminiscent of cats
- AI 541 2024-04-30 17:49:13
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- The largest reconstruction in history of 25km²! NeRF-XL: Really effective use of multi-card joint training!
- Original title: NeRF-XL: Scaling NeRFswithMultipleGPUs Paper link: https://research.nvidia.com/labs/toronto-ai/nerfxl/assets/nerfxl.pdf Project link: https://research.nvidia.com/labs/toronto -ai/nerfxl/Author affiliation: NVIDIA University of California, Berkeley Paper idea: This paper proposes NeRF-XL, a principled method for allocating neural ray fields among multiple graphics processing units (GPUs) ( NeRFs)
- AI 1041 2024-04-30 16:50:14
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- WizardLM-2, which is 'very close to GPT-4', was urgently withdrawn by Microsoft. What's the inside story?
- Some time ago, Microsoft made an own mistake: it grandly open sourced WizardLM-2, and then withdrew it cleanly soon after. Currently queryable release information for WizardLM-2, an open source large model "truly comparable to GPT-4" with improved performance in complex chat, multi-language, inference and agency. The series includes three models: WizardLM-28x22B, WizardLM-270B and WizardLM-27B. Among them: WizardLM-28x22B is the most advanced model and the best open source LLM after internal evaluation for highly complex tasks. WizardLM-270B has top-level reasoning capabilities and is the first choice of the same scale; W
- AI 605 2024-04-30 16:40:12
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- The Python team hasn't been disbanded yet, and Google is taking action against Flutter and Dart again
- Last week, the news that "Google fired its Python foundation team" sparked heated discussion. “One update from Thomas Wouters, a member of Google’s Python Steering Committee, surprised everyone: “When everyone you work directly with, including your supervisor, is laid off — oh, positions are being cut, and you’re asked to schedule their Replacements were hired, and these people were told to hold the same positions in different countries, but they were not happy about it. It was a very difficult day. "Just when people were discussing the reasons why Google was laying off the Python team, Google once again spread the news. News of "laying off employees in key teams such as Flutter, Dart, Python, etc." According to foreign media TechCrunch, Google confirmed
- AI 1389 2024-04-30 16:01:28
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- The Importance of Open Source AI in 2024
- The demand for open source AI will continue to grow through 2024. Open source AI enables developers to access and build on each other’s work, enabling collaboration, transparency, and innovation in the field. This accelerates the development of AI technology, increases accessibility, and democratizes AI capabilities. Let’s briefly discuss the importance of open source AI. Here are some key points about the importance of open source AI in 2024: Collaboration: Open source AI promotes collaboration among developers, researchers, and organizations to share knowledge and resources, thereby accelerating progress in the field. By openly sharing algorithms, models, and tools, the pace of innovation will accelerate as a global collective mind is maintained that helps refine and advance AI capabilities. Transparency: On
- AI 964 2024-04-30 09:07:22
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- The multi-modal model of the National People's Congress moves towards AGI: it realizes independent updating for the first time, and photo video generation surpasses Sora
- At the Zhongguancun Forum General Artificial Intelligence Parallel Forum held on April 27, Sophon Engine, a startup company affiliated with the Renmin University of China, grandly released a new multi-modal large model Awaker 1.0, taking a crucial step towards AGI. Compared with the previous generation ChatImg sequence model of Sophon engine, Awaker 1.0 adopts a new MOE architecture and has the ability to update independently. It is the first multi-modal large model in the industry to achieve "true" independent update. In terms of visual generation, Awaker 1.0 uses a completely self-developed video generation base VDT, which achieves better results than Sora in photo video generation, breaking the "last mile" difficulty of landing large models. Awaker1.0 is
- AI 1244 2024-04-30 08:13:07
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- One month after the GTC conference, Nvidia's Omniverse Cloud API is rapidly landing
- At this year's GTC conference, Nvidia announced that it has used technologies such as generative functional AI to build an industry-leading metaverse, industrial digital twin, and robot training software system. Based on NVIDIA's real-time simulation and collaboration platform Omniverse. With the launch of OmniverseCloud API, tools to simulate real-world environments have expanded their coverage and are now used by many companies to create industrial digital twin applications and workflows. In March, a total of five new OmniverseCloud application programming interfaces were introduced, allowing developers to easily integrate core Omniverse technology directly into existing design and automation software applications for digital twins, or for testing and validating robots or from
- AI 652 2024-04-30 08:10:22
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- From material design and synthesis to catalyst innovation and carbon neutrality, Tsinghua Wang Xiaonan's team explores the frontier and implementation of 'AI+ materials”
- Author | Editor Wang Xiaonan of Tsinghua University | Kaixia In today's era of rapid technological development, the research and development of new materials has become a key force in promoting scientific progress and industrial revolution. From energy storage to information technology to biomedicine, the design, synthesis and functional characterization of innovative materials are the cornerstones of breakthroughs in these fields. The research and development of new materials has shown a trend of breakthroughs in many fields. In terms of energy storage, researchers are working to develop more efficient and safer battery materials to meet the storage needs of renewable energy. At the same time, the advancement of information technology has also prompted materials scientists to follow the continuous advancement of artificial intelligence (AI) technology. Its application in new materials research has opened a new research paradigm and become a new productive force that surpasses the traditional R&D model. special
- AI 1608 2024-04-29 21:19:01
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- Huawei Software Elite Challenge has been successfully held for ten times, and more than 2,000 software elites have joined Huawei
- On April 28, 2024, the 10th Huawei Software Elite Challenge 2024-"Planck Project" global finals and awards ceremony concluded successfully. Lasting two months, nearly 30,000 players and more than 5,700 teams from more than 800 universities around the world competed fiercely in the regional preliminaries, regional semi-finals, and global finals of the eight major competition areas. In the end, the Beijing-Tianjin Northeast Division came from Harbin Institute of Technology. The "Yuanmeng Star" team won the global championship in one fell swoop and won a prize of 200,000 yuan. A group photo of the finalists of the 2023 Huawei Software Elite Challenge. The global champion of the 2024 Huawei Software Elite Challenge. The Huawei Software Elite Challenge is a large-scale software programming competition organized by Huawei for college students around the world. With the theme of "Planck Plan", it aims to Looking for
- AI 643 2024-04-29 19:22:29
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