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- The price starts from 165,800, and additional equipment will not increase the price. The 2024 Haval Raptor is coming.
- On April 23, 2024, the 2024 Haval Raptor made its debut with a unique "micro-variety show" live broadcast. There is no price increase for new cars with additional equipment, and the price ranges from 165,800 yuan to 192,800 yuan. The 2024 Haval Raptor Hi4102Pro and Hi4145Pro come standard with six high-sensing configurations, including 255/60 tires, 19-inch wheels, and non-stop electronic toll collection system ETC. The additional equipment is worth 3,000 yuan; the Hi4145 crossover version is upgraded on the basis of the Hi4145Pro. Nine ultra-high-sensing configurations, such as axle differential lock and head-up display, are worth 20,000 yuan. The 2024 Haval Raptor achieves "technological equality" with affordable pricing, becoming the first choice for new energy full-scenario square box SUVs. From now on to
- AI 1105 2024-04-24 15:28:23
- How artificial intelligence will impact cyberattacks and security
- In the field of cybersecurity, the integration of artificial intelligence is a game changer, enhancing the ability to detect and respond to threats quickly and effectively. The role of AI extends from automating complex processes to identifying patterns in data that may indicate potential security breaches. The importance of cybersecurity for AI integration cannot be overstated; as AI systems become increasingly integral to business operations, it is critical to secure these systems to prevent possible leakage of sensitive information or Malicious attacks that disrupt service. First, a critical step is to secure the architecture and infrastructure of the AI system. This includes securing networks and servers to prevent unauthorized access and attacks. Take appropriate security measures, such as using firewalls, encryption and access control technologies, to increase
- AI 518 2024-04-24 15:13:11
- Three secrets for deploying large models in the cloud
- Compilation|Produced by Xingxuan|51CTO Technology Stack (WeChat ID: blog51cto) In the past two years, I have been more involved in generative AI projects using large language models (LLMs) rather than traditional systems. I'm starting to miss serverless cloud computing. Their applications range from enhancing conversational AI to providing complex analytics solutions for various industries, and many other capabilities. Many enterprises deploy these models on cloud platforms because public cloud providers already provide a ready-made ecosystem and it is the path of least resistance. However, it doesn't come cheap. The cloud also offers other benefits such as scalability, efficiency and advanced computing capabilities (GPUs available on demand). There are some little-known aspects of deploying LLM on public cloud platforms
- AI 637 2024-04-24 15:00:02
- Meta smart glasses use multi-modal Llama 3! Opportunities for domestic AR glasses are coming
- The AR black technology in science fiction blockbusters has actually come into reality! Just now, Meta’s own Ray-Ban smart glasses have begun to support the multi-modal version of Llama3! You know, the open source version of Llama3 does not yet support multi-modality. Recently, Xiao Zha also admitted in the discussion that the open source model is worth 10 billion US dollars. However, if it comes to the product side, that's another story. Hey, isn’t the product here? Put on this pair of smart glasses, and when you feel bored while traveling and riding in the car, you can ask Meta to play some music. Wearing AR glasses can also directly translate unknown languages. Or when you have no time on the road, Meta can send voice messages to friends. Walk up to a building and call Meta to tell yourself more information about it. even,
- AI 397 2024-04-24 14:50:14
- CVPR 2024 | A general image fusion model based on MoE, adding 2.8% parameters to complete multiple tasks
- 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. Paper link: https://arxiv.org/abs/2403.12494 Code link: https://github.com/YangSun22/TC-MoA Paper title: Task-
- AI 440 2024-04-24 14:28:12
- Microsoft releases Phi-3, which has superior performance to Llama-3 and can be run on mobile phones
- Data has become the focus of improving the capabilities of large models. Not long after Llama-3 was released, competitors arrived, and they were small models that could run on mobile phones. On Tuesday, Microsoft released its self-developed small-size model Phi-3. The new model has three versions, among which Phi-3mini is a language model with 3.8 billion parameters. After training with 3.3 trillion tokens, its overall performance has achieved excellent results on academic benchmarks and internal tests. Although Phi-3mini is optimized to be deployed on mobile phones, its performance is comparable to models such as Mixtral8x7B and GPT-3.5. Microsoft said the innovation lies primarily in the data sets used for training. Meanwhile, Phi-3 uses the same
- AI 900 2024-04-24 13:55:25
- Four emerging trends in supply chain management
- With the advent of modern technology and innovation, global supply chains are undergoing transformation. They are becoming increasingly complex, so there is a need to harness the power of these technologies to manage them effectively. This article will look at some of the key emerging trends in supply chain management that will increase the overall efficiency of software. So before we get started, let’s understand, what is supply chain software? What is supply chain software? Supply chain software or supply chain management software is a tool designed to optimize multiple aspects of supply chain operations. The software offers some customization depending on the business, but basically, it provides functionality to manage the core processes of the supply chain, such as procurement, inventory management, logistics, order fulfillment and demand forecasting. These solutions leverage cloud computing, big data analytics, artificial intelligence (AI)
- AI 278 2024-04-24 12:46:10
- Huawei Cloud provides out-of-the-box computing power for large model training and inference in Hong Kong
- Huawei Cloud successfully held the Huawei Cloud Summit on April 23, providing ready-to-use AI cloud services in Hong Kong to provide efficient, long-term, and reliable AI computing power for large model training and inference. Huawei Cloud stated that its infrastructure will support efficient migration, development, and efficient operation of large models through a full-link cloud tool chain, and will provide a large model area specially optimized for Ascend Cloud to enable rapid application of "hundreds of models and thousands of states" Landed. Shi Jilin, President of Huawei Cloud Global Marketing and Sales Services, was at the event. Shi Jilin, President of Huawei Cloud Global Marketing and Sales Services, said: Hong Kong has a good foundation for the development of the AI industry, with first-class university resources and scientific research institutions, as well as an open economic system and an international business environment, attracting top people from around the world.
- AI 350 2024-04-24 08:00:23
- Hao Mo Zhixing received 300 million yuan in B2 round financing from Jiuzhi Capital and Huzhou Changxing, continuing to lead the mass production of autonomous driving in China
- On April 23, Haomo Zhixing announced that it had received another 300 million yuan in Series B2 financing. Haimou's B2 round of financing was jointly invested by the company's old shareholder Jiuzhi Capital and Huzhou Changxing to set up an industrial investment fund. It will be used to continue to strengthen Haimou's R&D investment in autonomous driving, strengthen the company's core competitiveness, and consolidate Haimou's position as the leader in mass-produced autonomous driving in China. Zhu Wei, secretary of the Changxing County Party Committee in Huzhou, said that after recent efforts, Changxing has formed a high-quality automobile industry cluster led by vehicle manufacturing, and intelligence is an important development direction of the automobile industry and the main battlefield for industry competition. The implementation of the intelligent driving project at the end of this time will add an important link to the Changxing Automobile industry chain and greatly enhance the intelligence index of Changxing Automobile industry chain. "Han Hualong, chairman of Jiuzhi Capital, said that smart cars are our
- AI 746 2024-04-23 21:37:10
- Within hours of release, Microsoft deleted a large open source model comparable to GPT-4 in seconds! Forgot to take the poison test
- Last week, Microsoft airdropped WizardLM-2, an open source model called GPT-4 level. But I didn’t expect that it would be deleted immediately a few hours after it was posted. Some netizens suddenly discovered that WizardLM’s model weights and announcement posts had all been deleted and were no longer in the Microsoft collection. Apart from the mention of the site, no evidence could be found to prove that this was an official Microsoft project. The GitHub project homepage has become a 404. Project address: https://wizardlm.github.io/ Including the weight of the model on HF, all have disappeared... The whole network is full of confusion, why is WizardLM gone? However, the reason Microsoft did this was because the team forgot to "test" the model. Later, micro
- AI 811 2024-04-23 17:22:11
- 750,000 rounds of one-on-one battle between large models, GPT-4 won the championship, and Llama 3 ranked fifth
- Regarding Llama3, new test results have been released - the large model evaluation community LMSYS released a large model ranking list. Llama3 ranked fifth, and tied for first place with GPT-4 in the English category. The picture is different from other benchmarks. This list is based on one-on-one battles between models, and the evaluators from all over the network make their own propositions and scores. In the end, Llama3 ranked fifth on the list, followed by three different versions of GPT-4 and Claude3 Super Cup Opus. In the English single list, Llama3 overtook Claude and tied with GPT-4. Regarding this result, Meta’s chief scientist LeCun was very happy and forwarded the tweet and
- AI 465 2024-04-23 15:28:01
- Caltech Chinese use AI to subvert mathematical proofs! Speed up 5 times shocked Tao Zhexuan, 80% of mathematical steps are fully automated
- LeanCopilot, this formal mathematics tool that has been praised by many mathematicians such as Terence Tao, has evolved again? Just now, Caltech professor Anima Anandkumar announced that the team released an expanded version of the LeanCopilot paper and updated the code base. Image paper address: https://arxiv.org/pdf/2404.12534.pdf The latest experiments show that this Copilot tool can automate more than 80% of the mathematical proof steps! This record is 2.3 times better than the previous baseline aesop. And, as before, it's open source under the MIT license. In the picture, he is Song Peiyang, a Chinese boy. He is
- AI 363 2024-04-23 15:01:29
- The latest from Oxford University! Mickey: 2D image matching in 3D SOTA! (CVPR\'24)
- Project link written in front: https://nianticlabs.github.io/mickey/ Given two pictures, the camera pose between them can be estimated by establishing the correspondence between the pictures. Typically, these correspondences are 2D to 2D, and our estimated poses are scale-indeterminate. Some applications, such as instant augmented reality anytime, anywhere, require pose estimation of scale metrics, so they rely on external depth estimators to recover scale. This paper proposes MicKey, a keypoint matching process capable of predicting metric correspondences in 3D camera space. By learning 3D coordinate matching across images, we are able to infer metric relative
- AI 525 2024-04-23 13:20:21
- New test benchmark released, the most powerful open source Llama 3 is embarrassed
- If the test questions are too simple, both top students and poor students can get 90 points, and the gap cannot be widened... With the release of stronger models such as Claude3, Llama3 and even GPT-5 later, the industry is in urgent need of a more difficult and differentiated model Benchmarks. LMSYS, the organization behind the large model arena, launched the next generation benchmark, Arena-Hard, which attracted widespread attention. There is also the latest reference for the strength of the two fine-tuned versions of Llama3 instructions. Compared with MTBench, which had similar scores before, the Arena-Hard discrimination increased from 22.6% to 87.4%, which is stronger and weaker at a glance. Arena-Hard is built using real-time human data from the arena and has a consistency rate of 89.1% with human preferences.
- AI 434 2024-04-23 12:13:10
- Exploring the Python artifact: How does the eli5 module interpret the prediction results of the machine learning model?
- In the field of Python programming, sometimes we encounter some complex codes or algorithms, and it is difficult to understand the logic and principles. In order to help us better understand the operating mechanism behind the code, the ELI5 module came into being. The ELI5 module is a Python library that can interpret the predictions of machine learning models. Help us understand how the model makes decisions. Through the ELI5 module, we can use the interpreter learning model to understand the predictions of the model. This module provides a concise way to explain the model's decision for a specific sample. The working principle of the ELI5 module is to help us understand the model by sorting and visualizing the importance of features. In this article, we will explore the use of the eli5 module in different scenarios.
- AI 1131 2024-04-23 09:20:02
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