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  • Is generative AI leading to a private cloud renaissance?
    Is generative AI leading to a private cloud renaissance?
    Compilation丨Produced by Noah | 51CTO Technology Stack (WeChat ID: blog51cto) As another round of technological revolution approaches, many companies are facing a strategic choice: whether to continue to rely on the convenience of public cloud, or to return to private cloud The embrace of? With the rapid development of AI technology, this decision has become more urgent. According to Forrester's 2023 Infrastructure Cloud Survey, approximately 79% of approximately 1,300 enterprise cloud decision-makers surveyed stated that their organizations are implementing private clouds. In addition, IDC predicts that global spending on dedicated private cloud services, including managed private clouds, will reach $20.4 billion in 2024 and will double by at least 2027. Before 2024, IDC data shows that
    AI 932 2024-06-01 20:11:36
  • Li Feifei interprets the entrepreneurial direction 'spatial intelligence' to allow AI to truly understand the world
    Li Feifei interprets the entrepreneurial direction 'spatial intelligence' to allow AI to truly understand the world
    A complete TED interpretation video of "spatial intelligence", the choice of Li Feifei for starting a business, has been released. Some time ago, Reuters exclusively reported that Li Feifei, the well-known "AI godmother", was establishing a start-up company and completed a seed round of financing. When introducing the startup, an informant quoted a speech given by Li Feifei at TED in Vancouver, indicating that he introduced the concept of spatial intelligence in this TED speech. Just today, Li Feifei released the video of her complete speech at TED Vancouver on X. She introduced on Insight, insight turns into understanding,
    AI 1354 2024-06-01 19:56:00
  • Beating GPT-4o in seconds, beating Llama 3 70B in 22B, Mistral AI opens its first code model
    Beating GPT-4o in seconds, beating Llama 3 70B in 22B, Mistral AI opens its first code model
    French AI unicorn MistralAI, which is targeting OpenAI, has made a new move: Codestral, the first large code model, was born. As an open generative AI model designed specifically for code generation tasks, Codestral helps developers write and interact with code by sharing instructions and completion API endpoints. Codestral's proficiency in coding and English allows software developers to design advanced AI applications. The parameter size of Codestral is 22B, it complies with the new MistralAINon-ProductionLicense, and can be used for research and testing purposes, but commercial use is prohibited. Currently, the model is available for download on HuggingFace. download link
    AI 693 2024-06-01 18:32:04
  • Combining quantum features and 20,000 molecular dynamics simulations, a new protein-ligand complex ML data set was published in the Nature sub-journal
    Combining quantum features and 20,000 molecular dynamics simulations, a new protein-ligand complex ML data set was published in the Nature sub-journal
    Editor | Dead Leaf Butterfly Large-scale language models have greatly enhanced scientists' ability to understand biology and chemistry, but reliable methods for structure-based drug discovery, quantum chemistry, and structural biology remain few. Accurate biomolecule-ligand interaction datasets are urgently needed for large language models. In order to solve this problem, researchers from the Institute of Biology of the Helmholtz Research Center München and the Technical University of Munich proposed MISATO. This is a data set that combines quantum mechanical (QM) properties of small molecules with associated molecular dynamics (MD) simulations of approximately 20,000 experimental protein-ligand complexes, and extensive validation of experimental data. Starting from the existing experimental structure, the researchers used semi-empirical quantum mechanics to systematically improve these
    AI 487 2024-06-01 18:20:09
  • Understand the Arthur Bench LLM evaluation framework in one article
    Understand the Arthur Bench LLM evaluation framework in one article
    Hellofolks, I am Luga. Today we will talk about technologies related to the artificial intelligence (AI) ecological field - LLM assessment. As we all know, LLM evaluation is an important topic in the field of artificial intelligence. As LLMs become more widely used in various scenarios, it becomes increasingly important to evaluate their capabilities and limitations. As an emerging LLM assessment tool, ArthurBench aims to provide a comprehensive, fair and repeatable assessment platform for AI researchers and developers. 1. Challenges faced by traditional text evaluation In recent years, with the rapid development and improvement of large language models (LLM), traditional text evaluation methods may no longer be applicable in some aspects. In the field of text evaluation, we may have heard of a
    AI 511 2024-06-01 17:57:01
  • iFlytek joins forces with Alipay to build a smart cockpit service ecosystem
    iFlytek joins forces with Alipay to build a smart cockpit service ecosystem
    On the 30th day, iFlytek and Alipay announced a contract. The two parties will cooperate in the fields of large models, car and machine payment, and mini program services to jointly build a more intelligent cockpit service ecosystem. In the future, more Alipay mini-program services will be able to provide car owners with a multi-scenario intelligent and convenient car experience before, during and after the trip through iFlytek's car boarding machines. As Internet traffic penetrates into the panoramic process, mini programs have become an important position for brands to operate. We hope to provide car owners with richer services through the Alipay mini program ecosystem. He Weimin, deputy general manager of iFlytek's Automotive Division, said that iFlytek will leverage its system technology advantages such as multi-terminal interconnection technology and mini-program security to deliver the smart car networking service ecology of the Alipay platform to the brand's car terminals. According to authoritative research
    AI 421 2024-06-01 17:55:26
  • Hand-tearing Llama3 layer 1: Implementing llama3 from scratch
    Hand-tearing Llama3 layer 1: Implementing llama3 from scratch
    1. Architecture of Llama3 In this series of articles, we implement llama3 from scratch. The overall architecture of Llama3: Picture the model parameters of Llama3: Let's take a look at the actual values ​​of these parameters in the Llama3 model. Picture [1] Context window (context-window) When instantiating the LlaMa class, the variable max_seq_len defines context-window. There are other parameters in the class, but this parameter is most directly related to the transformer model. The max_seq_len here is 8K. Picture [2] Vocabulary-size and AttentionL
    AI 1222 2024-06-01 17:45:42
  • Simple and universal: the visual basic network accelerates lossless training by up to 3 times, Tsinghua EfficientTrain++ was selected for TPAMI 2024
    Simple and universal: the visual basic network accelerates lossless training by up to 3 times, Tsinghua EfficientTrain++ was selected for TPAMI 2024
    Paper link: https://arxiv.org/pdf/2405.08768 The code and pre-trained model have been open source: https://github.com/LeapLabTHU/EfficientTrain Conference version paper (ICCV2023): https://arxiv.org/pdf/ 2211.09703 Column of Computer Vision Institute Column of Computer Vision Institute This article mainly introduces the IEEE Transactionson Pattern Analysis and Machine Intelligence (TP
    AI 475 2024-06-01 17:41:29
  • Comprehensively surpassing DPO: Chen Danqi's team proposed simple preference optimization SimPO, and also refined the strongest 8B open source model
    Comprehensively surpassing DPO: Chen Danqi's team proposed simple preference optimization SimPO, and also refined the strongest 8B open source model
    In order to align large language models (LLMs) with human values ​​and intentions, it is critical to learn human feedback to ensure that they are useful, honest, and harmless. In terms of aligning LLM, an effective method is reinforcement learning based on human feedback (RLHF). Although the results of the RLHF method are excellent, there are some optimization challenges involved. This involves training a reward model and then optimizing a policy model to maximize that reward. Recently, some researchers have explored simpler offline algorithms, one of which is direct preference optimization (DPO). DPO learns the policy model directly based on preference data by parameterizing the reward function in RLHF, thus eliminating the need for an explicit reward model. This method is simple and stable
    AI 791 2024-06-01 16:41:36
  • The author of ControlNet's new work is a hit: P photos can be changed into backgrounds without asking for help, and AI lighting is perfectly integrated
    The author of ControlNet's new work is a hit: P photos can be changed into backgrounds without asking for help, and AI lighting is perfectly integrated
    The new work by the author of ControlNet is so fun to play that it has received 1.2k stars since it was open sourced. IC-Light, which is used to manipulate image lighting effects, is called lmposingConsistentLight. The gameplay is very simple: Uploading means that the system will automatically separate the characters and other subjects, select the light source position, fill in the prompt words, and you can integrate into the new environment without any flaws! Hurry up and do some Wong Kar-wai style lighting: Don’t like it? It doesn't matter, it only takes a few minutes to switch to the natural light coming in from the window. Currently, IC-Light provides two types of models: text conditional relighting models and background conditional models. Both models require a foreground image as input. Since Controlnet was so fun before, this time IC
    AI 1299 2024-06-01 16:23:10
  • A new milestone in controllable nuclear fusion, AI achieves fully automatic optimization of dual tokamak 3D field for the first time, published in Nature sub-issue
    A new milestone in controllable nuclear fusion, AI achieves fully automatic optimization of dual tokamak 3D field for the first time, published in Nature sub-issue
    Editor | Now, at the Princeton Plasma Physics Laboratory (PPPL), scientists are turning to artificial intelligence to solve a pressing challenge facing humanity: generating clean, reliable energy from fusion plasma. Unlike traditional computer code, machine learning is more than just a list of instructions. It can analyze data, infer relationships between features, and learn and adapt from new knowledge. PPPL+ researchers believe this ability to learn and adapt could improve their control of fusion reactions in a variety of ways. This includes perfecting the design of the vessel surrounding the superheated plasma, optimizing heating methods, and maintaining stable control of the reaction over increasingly longer periods of time. close
    AI 820 2024-06-01 15:57:53
  • Palm Reading Technology joins hands with Amazon Cloud Technology to reshape the reading experience with the power of generative AI
    Palm Reading Technology joins hands with Amazon Cloud Technology to reshape the reading experience with the power of generative AI
    In the digital age, although obtaining information has become easy, readers still face many challenges in enjoying reading. From the confusion of choosing books, to the distraction during reading, to the absorption and organization of knowledge after reading, these constitute a series of difficulties in the reader's experience. As a leading company in the field of digital reading, Zhangyue Technology has a deep understanding of users' different reading needs and explores the use of generative AI technology to reshape the reading experience. With the help of relevant technologies of Amazon Cloud Technology, we can enrich diversified reading scenarios such as Vincent pictures and Vincent videos, and create a digital and immersive innovative reading experience for users. Reaching the core of the essence of reading and reshaping the reading experience. Sun Kai pointed out that from the past development trends of the reading market, we have seen that with the continuous upgrading and iteration of technology and equipment,
    AI 879 2024-06-01 15:02:07
  • Li Feifei reveals the entrepreneurial direction of 'spatial intelligence': visualization turns into insight, seeing becomes understanding, and understanding leads to action
    Li Feifei reveals the entrepreneurial direction of 'spatial intelligence': visualization turns into insight, seeing becomes understanding, and understanding leads to action
    After Stanford's Feifei Li started his business, he unveiled the new concept "spatial intelligence" for the first time. This is not only her entrepreneurial direction, but also the "North Star" that guides her. She considers it "the key puzzle piece to solve the artificial intelligence problem." Visualization leads to insight; seeing leads to understanding; understanding leads to action. Based on Li Feifei's 15-minute TED talk, which is fully open to the public, it starts from the origin of life evolution hundreds of millions of years ago, to how humans are not satisfied with what nature has given them and develops artificial intelligence, to how to build spatial intelligence in the next step. Nine years ago, Li Feifei introduced the newly born ImageNet to the world on the same stage - one of the starting points for this round of deep learning explosion. She herself also encouraged netizens: If you watch both videos, you will be able to understand the computer vision of the past 10 years.
    AI 1253 2024-06-01 14:55:34
  • Tencent Hunyuan upgrades model matrix, launching 256k long text model on the cloud​
    Tencent Hunyuan upgrades model matrix, launching 256k long text model on the cloud​
    The implementation of large models is accelerating, and "industrial practicality" has become a development consensus. On May 17, 2024, the Tencent Cloud Generative AI Industry Application Summit was held in Beijing, announcing a series of progress in large model development and application products. Tencent's Hunyuan large model capabilities continue to upgrade. Multiple versions of models hunyuan-pro, hunyuan-standard, and hunyuan-lite are open to the public through Tencent Cloud to meet the model needs of enterprise customers and developers in different scenarios, and to implement the most cost-effective model solutions. . Tencent Cloud releases three major tools: knowledge engine for large models, image creation engine, and video creation engine, creating a native tool chain for the era of large models, simplifying data access, model fine-tuning, and application development processes through PaaS services to help enterprises
    AI 836 2024-06-01 13:46:36
  • Working with Amazon Cloud Technology, Beijing Lingao Technology helps enterprises seamlessly combine large models and data​
    Working with Amazon Cloud Technology, Beijing Lingao Technology helps enterprises seamlessly combine large models and data​
    As the era of generative AI continues to develop, more and more companies are beginning to pay attention to, apply and even train large models, hoping to create greater business value. This idea is certainly correct. The emergence of large models will definitely bring innovation and breakthroughs to enterprises. However, the basic model relies on large-scale high-quality data sets. The key to using generative AI to bring differentiated advantages to enterprises is the enterprise's proprietary data. Data is one of the core competitiveness of enterprises. Recently, Amazon Cloud Technology held a media communication meeting with the theme of "No Data, No Model - Data Base in the Generative AI Era". At the meeting, Li Qipeng, CEO of Beijing Lingao Technology, introduced how Vanus can help enterprises solve data problems and thus seamlessly integrate with large models. Beijing Lingao Technology is a fast-growing start-up company
    AI 1193 2024-06-01 12:48:21

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