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- How TigerGraph CoPilot implements graph-enhanced AI
- To learn more about AIGC, please visit: 51CTOAI.x community https://www.51cto.com/aigc/ By comparing the shortcomings of other commercial LLMs, this article introduces in detail the main functions, advantages, and two key points of TigerGraphCoPilot Example. In recent years, data as a production factor has been able to provide us with transformative business insights across different industries. However, how to make good use of the available big data often brings us considerable challenges. On the one hand, there is an overload of data, and on the other hand, there are a large number of underutilized data islands. Many professional data scientists and analysts urgently need to use their professional knowledge to enable their organizations to operate without sacrificing
- AI 927 2024-06-10 18:38:14
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- ICML 2024 | Breaking away from the LoRA architecture, training parameters are greatly reduced, and a new type of Fourier fine-tuning 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 This article introduces an article by the Hong Kong University of Science and Technology (Guangzhou) on large model efficient fine-tuning (LLMPEFTFine-tuning) "Parameter-EfficientFine-TuningwithDis"
- AI 1271 2024-06-10 17:58:01
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- How to use artificial intelligence to enhance cloud security for APIs and microservices
- Translator | Reviewed by Li Rui | Chonglou Overview API is a set of guidelines and protocols used to facilitate communication between software applications. It outlines the methods by which software components interact, simplifying the process of developing and integrating systems. Microservices architecture represents an approach to software development that divides large applications into multiple services. Each service focuses on a business function. They can be developed, deployed and scaled autonomously. Cloud security is very important for APIs and microservices for the following reasons: Data Protection: APIs and microservices often process information. Maintaining security is critical to protecting this data from access, leakage, or destruction. User Authentication and Authorization: Implementing security protocols in a cloud computing environment helps verify the identity of users and services interacting with APIs and microservices. This is true
- AI 1163 2024-06-10 17:09:20
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- Simple and universal: 3 times lossless training acceleration of visual basic network, Tsinghua EfficientTrain++ selected for TPAMI 2024
- The author of this discussion paper, Wang Yulin, is a 2019 direct doctoral student in the Department of Automation of Tsinghua University. He studied under Academician Wu Cheng and Associate Professor Huang Gao. His main research directions are efficient deep learning, computer vision, etc. He has published discussion papers as the first author in journals and conferences such as TPAMI, NeurIPS, ICLR, ICCV, CVPR, ECCV, etc. He has received Baidu Scholarship, Microsoft Scholar, CCF-CV Academic Emerging Award, ByteDance Scholarship and other honors. Personal homepage: wyl.cool. This article mainly introduces an article that has just been accepted by IEEETransactionsonPatternAnalysisandMachineIntelligence (TPAMI): Effici
- AI 1109 2024-06-10 14:54:28
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- An efficient and generalizable Gaussian reconstruction framework that can quickly reason with only 3 views and complete optimization in 45 seconds.
- 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 3D reconstruction and new view synthesis technology are widely used in the fields of virtual reality and augmented reality. NeRF has achieved remarkable success in view synthesis by implicitly encoding scenes as ray scenes. However, since NeRF relies on time-consuming point-by-point query intensive
- AI 990 2024-06-10 14:24:57
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- New progress in Li Feifei's 'Spatial Intelligence' series, Wu Jiajun's team's new 'BVS' suite evaluates computer vision models
- In his recent 2024 TED speech, Li Feifei explained the concept of spatial intelligence (Spatial Intelligence) in detail. She is delighted and extremely enthusiastic about the rapid development of the field of computer vision in the past few years, and is creating a start-up company for this purpose. In this speech, she mentioned a research result of the Stanford team, BEHAVIOR, which they "created" A behavioral and motion dataset used to train computers and robots how to act in a three-dimensional world. BEHAVIOR is a huge data set that contains human behaviors and actions in various scenarios. The purpose of this data set is to allow computers and robots to better understand and imitate human behavior. By analyzing the BEHAVIOR
- AI 1225 2024-06-10 14:04:57
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- Open source! V2Xverse: handed over and released the first simulation platform and end-to-end model for V2X
- Synchronized driving data of vehicle-road collaboration Vehicle-to-everything-aided autonomous driving V2X-AD (Vehicle-to-everything-aided autonomous driving) has great potential in providing safer driving strategies. Researchers have conducted a lot of research on the communication and communication aspects of V2X-AD, but the effect of these infrastructure and communication resources in improving driving performance has not been fully explored. This highlights the need to study collaborative autonomous driving, that is, how to design efficient information sharing strategies for driving planning to improve the driving performance of each vehicle. This requires two key basic conditions: a platform that can provide a data environment for V2X-AD, and a driving
- AI 520 2024-06-10 12:42:28
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- GPT-4 passed the Turing test with a winning rate of 54%! UCSD new work: Humans cannot recognize GPT-4
- Can GPT-4 pass the Turing test? When a powerful enough model is born, people often use the Turing test to measure the intelligence of this LLM. Recently, researchers from the Department of Cognitive Science at UCSD discovered that in the Turing test, people cannot distinguish GPT-4 from humans at all! Paper address: https://arxiv.org/pdf/2405.08007 In the Turing test, GPT-4 was judged to be human 54% of the time. The experimental results show that this is the first time that a system has been empirically passed the test in the "interactive" two-person Turing test. Researchers Cameron R. Jones recruited 500 volunteers, who were divided into 5 roles: 4 evaluators, namely
- AI 1241 2024-06-10 12:32:27
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- The open source version of GLM-4 is finally here: surpassing Llama3, multi-modality comparable to GPT4V, and the MaaS platform has also been greatly upgraded.
- The latest version of the large model costs 6 cents and 1 million Tokens. This morning, at the AI Open Day, the much-watched large model company Zhipu AI announced a series of industry implementation figures: According to the latest statistics, the Zhipu AI large model open platform has currently received 300,000 registered users, with an average daily The number of calls has reached 40 billion Tokens, of which the daily API consumption has increased by more than 50 times in the past 6 months, and the most powerful GLM-4 model has increased by more than 90 times in the past 4 months. In the recent Qingtan App, more than 300,000 agents are active in the agent center, including many excellent productivity tools, such as mind maps, document assistants, schedulers, and more. On the new technology side, the latest version of GLM-4, GL
- AI 1348 2024-06-10 11:44:17
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- Say goodbye to the 3D Gaussian Splatting algorithm, the spectral pruning Gaussian field SUNDAE with neural compensation is open source
- 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 authors of this paper include Yang Runyi, a master's student at Imperial College London, Zhu Zhenxin, a second-year master's student at Beihang University, Jiang Zhou, a second-year master's student at Beijing Institute of Technology, and fourth-year undergraduate students at Beijing Institute of Technology Ye Baijun, Zhang Yifei, a third-year undergraduate student at the Chinese Academy of Sciences, China Telecom Artificial Intelligence
- AI 1228 2024-06-10 11:17:28
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- Context-augmented AI coding assistant using Rag and Sem-Rag
- Improve developer productivity, efficiency, and accuracy by incorporating retrieval-enhanced generation and semantic memory into AI coding assistants. Translated from EnhancingAICodingAssistantswithContextUsingRAGandSEM-RAG, author JanakiramMSV. While basic AI programming assistants are naturally helpful, they often fail to provide the most relevant and correct code suggestions because they rely on a general understanding of the software language and the most common patterns of writing software. The code generated by these coding assistants is suitable for solving the problems they are responsible for solving, but often does not conform to the coding standards, conventions and styles of the individual teams. This often results in suggestions that need to be modified or refined in order for the code to be accepted into the application
- AI 1582 2024-06-10 11:08:19
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- Stability AI's open source 47-second audio generation model can generate insects, birds, rock music, and drum beats.
- There is another good news in the field of audio generation: StabilityAI has just announced the launch of the open model StableAudioOpen, which can generate high-quality audio data. Project address: https://huggingface.co/stabilityai/stable-audio-open-1.0 Unlike StabilityAI’s commercial StableAudio product, which generates longer, coherent music tracks of up to three minutes, StableAudioOpen can be created via simple text Provides generation of high-quality audio data up to 47 seconds. This model was created for music production and sound design. It includes drum beats, musical instruments ri
- AI 1092 2024-06-10 09:37:36
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- Step-by-step guide to using Groq Llama 3 70B locally
- Translator | Bugatti Review | Chonglou This article describes how to use the GroqLPU inference engine to generate ultra-fast responses in JanAI and VSCode. Everyone is working on building better large language models (LLMs), such as Groq focusing on the infrastructure side of AI. Rapid response from these large models is key to ensuring that these large models respond more quickly. This tutorial will introduce the GroqLPU parsing engine and how to access it locally on your laptop using the API and JanAI. This article will also integrate it into VSCode to help us generate code, refactor code, enter documentation and generate test units. This article will create our own artificial intelligence programming assistant for free. Introduction to GroqLPU inference engine Groq
- AI 1474 2024-06-10 09:16:58
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- Big model app Tencent Yuanbao is online! Hunyuan is upgraded to create an all-round AI assistant that can be carried anywhere
- On May 30, Tencent announced a comprehensive upgrade of its Hunyuan model. The App "Tencent Yuanbao" based on the Hunyuan model was officially launched and can be downloaded from Apple and Android app stores. Compared with the Hunyuan applet version in the previous testing stage, Tencent Yuanbao provides core capabilities such as AI search, AI summary, and AI writing for work efficiency scenarios; for daily life scenarios, Yuanbao's gameplay is also richer and provides multiple features. AI application, and new gameplay methods such as creating personal agents are added. "Tencent does not strive to be the first to make large models." Liu Yuhong, vice president of Tencent Cloud and head of Tencent Hunyuan large model, said: "In the past year, we continued to promote the capabilities of Tencent Hunyuan large model. In the rich and massive Polish technology in business scenarios while gaining insights into users’ real needs
- AI 1203 2024-06-09 22:38:15
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- Putting the entire earth into a neural network, the Beihang University team launched a global remote sensing image generation model
- Beihang's research team used a diffusion model to "replicate" the Earth? At any location around the world, the model can generate remote sensing images of multiple resolutions, creating rich and diverse "parallel scenes." Moreover, complex geographical features such as terrain, climate, and vegetation have all been taken into consideration. Inspired by Google Earth, Beihang's research team "loaded" satellite remote sensing images of the entire Earth into a deep neural network from an overhead perspective. Based on such a network, the team built MetaEarth, a global top-down visual generation model. MetaEarth has 600 million parameters and can generate remote sensing images with multiple resolutions, unbounded and covering any geographical location around the world. Compared with previous research, the global remote sensing image generation model has
- AI 413 2024-06-09 21:56:30
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