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- To cultivate and develop new productive forces in the financial field, the 'AI + Finance' forum was successfully held in Pudong New Area
- On April 12, under the guidance of the Shanghai Pudong New Area Science and Technology and Economic Committee, hosted by the Shanghai Pudong New Area Industrial Development Promotion Center, Shanghai Pudong New Area Investment Promotion Center II, Shanghai Lujiazui (Group) Co., Ltd., Shanghai Pudong Science and Technology Entrepreneurship Center, The "AI + Finance" forum hosted by China Construction Bank Shanghai Pudong Branch and our website (Shanghai) Technology Co., Ltd. was successfully held in Zhangjiang Science City and Digital Intelligence World. The forum aims to discuss the development trends and innovative applications of artificial intelligence and the financial industry, attracting nearly 400 guests from industry, academia and finance. At the meeting, participating experts conducted in-depth discussions on hot topics such as the application and development trends of AI+ finance. At the same time, the forum also showcased intelligent customer service, intelligent investment advisory, and facial recognition technology.
- AI 869 2024-04-15 13:43:10
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- CVPR\'24 | LightDiff: Diffusion model in low-light scenes, directly lighting up the night!
- Original title: Light the Night: AMulti-ConditionDiffusion Framework for UnpairedLow-LightEnhancement in Autonomous Driving Paper link: https://arxiv.org/pdf/2404.04804.pdf Author affiliation: Cleveland State University University of Texas at Austin A*STAR New York University UCLA Paper Ideas :LightDiff is a technology that improves the efficiency and scalability of the visual center perception system of autonomous driving. Compared to lidar systems, which have received considerable attention recently
- AI 890 2024-04-15 12:40:12
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- Integrate AI into DevOps to enhance workflow automation
- Translator | Reviewed by Chen Jun | Chonglou If someone tells you that software development and operations teams can work together effortlessly, streamline processes, and improve work efficiency, you will definitely think of DevOps. Today, people expect it to harness the power of artificial intelligence (AI) to revolutionize every decision and more easily help educate new DevOps professionals. From a deeper perspective, whether it is automating daily tasks, optimizing asset allocation, or predicting potential problems, artificial intelligence can have a revolutionary impact on DevOps workflows. learn. To realize the unlimited opportunities of artificial intelligence in DevOps, you need to consider improving team communication efficiency, reducing fault recovery time, and enhancing resilience. How to integrate artificial intelligence into
- AI 652 2024-04-15 11:34:16
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- CVPR 2024 | New framework CustomNeRF accurately edits 3D scenes with only text or image prompts
- Meitu Imaging Research Institute (MTLab), together with the Institute of Information Engineering of the Chinese Academy of Sciences, Beijing University of Aeronautics and Astronautics, and Sun Yat-sen University, jointly proposed a 3D scene editing method - CustomNeRF. The research results have been accepted by CVPR2024. CustomNeRF not only supports text descriptions and reference pictures as editing tips for 3D scenes, but also generates high-quality 3D scenes based on information provided by users. Since Neural Radiance Field (NeRF) was proposed in 2020, it has pushed implicit expression to a new level. As one of the most cutting-edge technologies, NeRF is rapidly generalized and applied in computing
- AI 673 2024-04-15 10:13:19
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- Magically modified RNN challenges Transformer, RWKV is new: launching two new architecture models
- Instead of taking the usual path of Transformer, the new domestic architecture RWKV of RNN has been modified and made new progress: two new RWKV architectures are proposed, namely Eagle (RWKV-5) and Finch (RWKV-6). These two sequence models are based on the RWKV-4 architecture and then improved. Design advancements in the new architecture include multi-headedmatrix-valuedstates and dynamicrecurrencemechanism. These improvements improve the expressive capabilities of the RWKV model while maintaining the inference efficiency characteristics of RNN. At the same time, the new architecture introduces a new multilingual corpus, including
- AI 1158 2024-04-15 09:10:06
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- Al Agent--An important implementation direction in the era of large models
- 1. LLM-basedAgent overall architecture The composition of the large language model Agent is mainly divided into the following four modules: 1. Portrait module: mainly describes the background information of the Agent. The following introduces the main content and generation strategy of the portrait module. Portrait content is mainly based on three types of information: demographic information, personality information and social information. Generation strategy: Three strategies are mainly used to generate portrait content: Manual design method: write the content of the user portrait into the prompt of the large model in a specified way; suitable for situations where the number of Agents is relatively small; large model generation method: First, specify a small number of portraits and use them as examples, and then use a large language model to generate more portraits; suitable for situations with a large number of Agents; data
- AI 936 2024-04-15 09:10:01
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- The risks and rewards of facial recognition technology in office buildings
- Over the past few years, offices have integrated more technology, especially as a way to bring people back after the pandemic. One of the most advanced technologies currently deployed is facial recognition. Facial recognition is used as a biometric key to grant access and dispatch appropriate power. Inside the office, many companies are using the technology to track attendance, screen job applicants and monitor employee productivity, among other things. The technology's makers tout its efficiency and ease of use in everyday tasks, such as entering and exiting buildings and monitoring employee activity and attendance. But not everyone agrees. Facial recognition has sparked criticism about the ethics of using biometrics in the workplace, as well as concerns about privacy and accuracy. The use of facial recognition raises concerns about
- AI 517 2024-04-15 09:04:01
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- Sudden! OpenAI fires Ilya ally for suspected information leakage
- Sudden! OpenAI fired people, the reason: suspected information leakage. One is Leopold Aschenbrenner, an ally of the missing chief scientist Ilya and a core member of the Superalignment team. The other person is not simple either. He is Pavel Izmailov, a researcher on the LLM inference team, who also worked on the super alignment team. It's unclear exactly what information the two men leaked. After the news was exposed, many netizens expressed "quite shocked": I saw Aschenbrenner's post not long ago and felt that he was on the rise in his career. I didn't expect such a change. Some netizens in the picture think: OpenAI lost Aschenbrenner, I
- AI 567 2024-04-15 09:01:18
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- Healthcare chatbot market to reach $1 billion by 2028
- What’s attractive about healthcare is that it’s on the verge of a technological revolution, and one of the most powerful new technologies is the integration of chatbots into healthcare systems. The healthcare chatbot market is expected to grow from USD 4,239.6 million in 2023 to USD 11.7 billion in 2028, registering a CAGR of 21.36% during the forecast period. With predictions showing that it will grow almost exponentially, it is necessary to address the causes, challenges and trends of the Medical Chatbot market. Improving attendance at healthcare services This is logical in an era where availability and accessibility of healthcare services has become critical due to the rise of virtual medical assistance. Sapio medical robots are known to connect patients with healthcare providers
- AI 748 2024-04-15 09:01:07
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- The local running performance of the Embedding service exceeds that of OpenAI Text-Embedding-Ada-002, which is so convenient!
- Ollama is a super practical tool that allows you to easily run open source models such as Llama2, Mistral, and Gemma locally. In this article, I will introduce how to use Ollama to vectorize text. If you have not installed Ollama locally, you can read this article. In this article we will use the nomic-embed-text[2] model. It is a text encoder that outperforms OpenAI text-embedding-ada-002 and text-embedding-3-small on short context and long context tasks. Start the nomic-embed-text service when you have successfully installed o
- AI 1071 2024-04-15 09:01:01
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- Musk's first multi-modal large model is here, and GPT-4V has been surpassed again
- Since Grok’s debut in November 2023, Musk’s xAI has been making continuous progress in the field of large models, launching attacks on pioneers such as OpenAI. Less than a month after Grok-1 was open sourced, xAI’s first multi-modal model was released. Yesterday, xAI launched Grok-1.5V, a model that not only understands text, but also processes content in documents, diagrams, screenshots, and photos. Grok-1.5V is a multimodal model capable of demonstrating elegant performance in many areas, from multidisciplinary reasoning to understanding documents, scientific diagrams, screenshots, and photos. xAI also indicated that in the coming months, it is expected to demonstrate higher model capabilities on various modalities such as image, audio and video. We saw G
- AI 553 2024-04-14 21:04:14
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- Is OpenAI's dismissal of two Ilya team members related to the 'Gong Dou” leak?
- OpenAI, a company that has experienced ups and downs of internal strife in the past six months, once again heard news of personnel changes. The Information reported that OpenAI has fired two employees suspected of leaking information, according to people familiar with the matter. One is Leopold Aschenbrenner, a researcher on the OpenAI Super Alignment team. He is an ally of OpenAI chief scientist Ilya Sutskever, who participated in the failed effort to force out OpenAI CEO Sam Altman last fall. Another fired employee, Pavel Izmailov, was engaged in inference-related research at OpenAI and also worked on the Super Alignment team for a period of time.
- AI 552 2024-04-13 08:13:20
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- Changing the initialization method of LoRA, Peking University's new method PiSSA significantly improves the fine-tuning effect
- As the number of parameters in large models increases, the cost of fine-tuning the entire model gradually becomes unacceptable. Therefore, the Peking University research team proposed an efficient parameter fine-tuning method called PiSSA, which exceeds the fine-tuning effect of the currently widely used LoRA on mainstream data sets. Paper: PiSSA: PrincipalSingularValuesandSingularVectorsAdaptationofLargeLanguageModels Paper link: https://arxiv.org/pdf/2404.02948.pdf Code link: https://github.com/GraphPKU/P
- AI 1101 2024-04-13 08:07:05
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- Directly expands to infinite length, Google Infini-Transformer ends the context length debate
- I don’t know if Gemini1.5Pro uses this technology. Google has made another big move and released the next generation Transformer model Infini-Transformer. Infini-Transformer introduces an efficient way to scale Transformer-based large language models (LLM) to infinitely long inputs without increasing memory and computational requirements. Using this technology, the researchers successfully increased the context length of a 1B model to 1 million; applied to the 8B model, the model can handle the 500K book summary task. Since the publication of the groundbreaking research paper "Attention is All You Need" in 2017, Tran
- AI 777 2024-04-13 08:00:24
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- How enterprise-level AI agents can be implemented in the automotive industry, this is the first domestic white paper to systematically explain
- In recent years, with the rapid development of large model technology, the upper limit of model capabilities has been continuously challenged. However, from the perspective of industrial change, the implementation of large models may be in its infancy. How to unleash the huge potential of large models and promote faster and better changes in productivity is still a topic full of room for exploration. Every industry is concerned about one question: What is the optimal methodology for applying large models to the business level? When we talk about this issue, we cannot avoid "AIAgent" (intelligent agent). As AI leaps from academic research to practical applications, large model-driven agents are becoming the core driving force for innovation. Even Bill Gates predicted that AIAgent will be the future of artificial intelligence. By then, AIAgent will have the capabilities to plan, execute,
- AI 696 2024-04-13 08:00:08