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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 846 2024-04-15 09:10:01
- 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 438 2024-04-15 09:04:01
- 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 452 2024-04-15 09:01:18
- 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 679 2024-04-15 09:01:07
- 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 936 2024-04-15 09:01:01
- 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 454 2024-04-14 21:04:14
- 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 469 2024-04-13 08:13:20
- 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 1023 2024-04-13 08:07:05
- 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 675 2024-04-13 08:00:24
- 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 592 2024-04-13 08:00:08
- Evernote releases self-developed large model, is a new productivity tool coming?
- (Beijing, April 12, 2024) Today, Evernote announced that its self-developed large language model has been named "Impression Large Model" and has completed the model registration in accordance with the "Interim Measures for the Management of Generative Artificial Intelligence Services" and relevant laws and regulations. Provide intelligent knowledge management services to more users. As a leading manufacturer of productivity tools, Evernote always adheres to technological innovation to bring users a better knowledge management experience. Evernote's research institution focusing on the field of artificial intelligence - Evernote Research Institute was established in 2018. It continues to work in the fields of natural language processing, neural network algorithms and other fields. Since 2018, it has successively launched intelligent recommendations, intelligent tags, intelligent summaries, and knowledge graphs. and a series of core product functions driven by artificial intelligence. In March 2023, Impression Research
- AI 1053 2024-04-12 21:31:16
- Opening the smart cockpit AI era, NIO's NOMI GPT device-cloud multi-modal large model is officially launched
- On April 12, NIO announced that NOMIGPT had officially launched its push service. The update pushed this time is based on a new technical architecture, including NOMI intelligently creating a NOMIGPT end-cloud multi-modal large model. NOMIGPT includes self-developed multi-modal perception, self-developed cognitive center, emotion engine, and multi-expert Agent to achieve global connectivity of NIO products, services, and communities, and provide more efficient and enjoyable AI services. After NOMIGPT is upgraded, users can experience a number of new interactive experiences including large model encyclopedia, unlimited fun chats, magical atmosphere, fun emoticons, car Q&A, and AI scene generation, and enjoy a new travel empowered by Zhisheng AI. This NOMIGPT launch will be available simultaneously for models equipped with Banyan·Rong intelligent system.
- AI 374 2024-04-12 21:19:01
- After the blessing of large models, are digital people 'more human'?
- Beijing Winter Olympics AI virtual human sign language anchor, Hangzhou Asian Games digital human ignition, Xinhua News Agency digital reporter, digital astronaut Xiaowei... As more and more digital humans appear in people's lives, the entire digital human race The industry is also developing towards diversified and extensive applications, rapidly expanding into different industries and scenarios. For the C-side, digital people help users produce content and auxiliary work, such as: digital people practice spoken language, play games with digital people, etc.; for the B-side, digital people are the "tool people" of enterprises and are used in finance, film and television, and television. commerce, live broadcast and other industries to improve industry production and operational efficiency. Digital people are a good business, but its large-scale implementation still faces difficulties in talent, cost, scenarios, technology, etc. Among them, the most critical one is the technical bottleneck, how to make digital
- AI 785 2024-04-12 19:04:10
- Trajectory Prediction Series | What does the evolved version of HiVT QCNet talk about?
- An evolved version of HiVT (you can read this article directly without reading HiVT first), with greatly improved performance and efficiency. The article is also easy to read. [Trajectory Prediction Series] [Notes] HiVT: HierarchicalVectorTransformerforMulti-AgentMotionPrediction - Zhihu (zhihu.com) Original link: https://openaccess.thecvf.com/content/CVPR2023/papers/Zhou_Query-Centric_Trajectory_Prediction_CVPR_2023_paper
- AI 644 2024-04-12 18:28:21
- Transparent! An in-depth analysis of the principles of major machine learning models!
- In layman’s terms, a machine learning model is a mathematical function that maps input data to a predicted output. More specifically, a machine learning model is a mathematical function that adjusts model parameters by learning from training data to minimize the error between the predicted output and the true label. There are many models in machine learning, such as logistic regression models, decision tree models, support vector machine models, etc. Each model has its applicable data types and problem types. At the same time, there are many commonalities between different models, or there is a hidden path for model evolution. Taking the connectionist perceptron as an example, by increasing the number of hidden layers of the perceptron, we can transform it into a deep neural network. If a kernel function is added to the perceptron, it can be converted into an SVM. this one
- AI 389 2024-04-12 17:55:32
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