


Working with Amazon Cloud Technology, Beijing Lingao Technology helps enterprises seamlessly combine large models and data
As the generative AI era continues to develop, more and more companies are beginning to pay attention to, apply and even Train large models and want 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, and we want to use generative AI to bring enterprises# The key to ##differentiation advantage is the company's proprietary data. Data is one of the core competitiveness of the company. #Recently, Amazon Cloud Technology has launched "
No data, no model - Generative## A media communication meeting was held with the theme of "#Data Base in the AI Era". At the meeting, Beijing Lingao Technology CEO Li Qipeng introduced how Vanushelps companies solve data problems, thus seamlessly integrating with large models. Beijing Lingao Technology is a
fast-growingstart-up company, dedicated to Promote the popularization of generative AI technology, thereby accelerating the business success of enterprises. Beijing Lingao Technology firmly believes that AI Agent will become the driving force behind the rapid growth of corporate business As the key strength, and successively launched three SaaS products, Vanus Connect, Vanus AI and VanChat, Enterprise provides a SaaS platform that helps build AI Agent, and has served a total of 30,000 users around the world.
#Large Model
Enterprise Data 'sSeamless integration Why is it difficult for enterprises to combine their business data with large models?
#First of all, requires high learning ability of the model. The enterprise
has many types of data, the format is messy and the sources cannot be unified, requires a modelthat can deeply understand the diversity of the enterprise ized data;Second,
has high requirements for the model to perceive changes. Business data changes in real time with enterprise operations, models need to continuously learn from different sources of continuously changing business information; Third ,
model compliance issues. Enterprises must not only let the model understand the data well, but also need to be safe and compliant, and cannot touch the red line; ##Fourth, the model is biased. Because different large language models have different sources of training data and different focuses, the models will be biased.
So LiQi Peng
believes thatdata is One of the core challenges of enterprise implementation of large-scale models,If there is an intermediate link that can help users connect the past and the next, this pain point may be solved. The large model middleware is between the large model and the application. It is the last mile to get through the large model enterprise implementation. It is an essential component for enterprises to build AI applications, is the key to helping enterprises solve data problems. Beijing Lingao Technology can not only help enterprises solve data pain points, but also help enterprises seamlessly integrate their business data with large models :
In the neural network layer,Vanus Connect can connect different data sources of the enterprise, perceive changes in enterprise business events in real time, and push them to the nerve center , and then receive instructions from the nerve center to execute them to solve the problem; at the nerve center layer, Vanus AI combines knowledge base (vector database) and large models to help enterprises make business decisions . At the same time, the large model middlewareVanus
can combine the advantages ofwith the enterprise Seamless data integration, provides users with multiple model choices such as Claude 3, and realizes automatic synchronization of product data, Including automatic product data update, Shopify data automatic access, etc., and also and websites, DingTalk, Feishu, Enterprise WeChat and other third-party applications are seamlessly integrated. ##Amazon Cloud Technology empowers Beijing Lingao Technology in many aspects
Beijing Lingao Technology helps enterprises solve data problems, which is inseparable from the empowerment of Amazon Cloud Technology. Beijing Lingao Technology joined the Amazon Cloud Technology Partner Network (APN) at the beginning of 's establishment. not only obtained resources such as recommended customers and partners, but also obtained technical empowerment. Accelerate the entry of generative AI products into the market. For a start-up company with many uncertain factors, Beijing Lingao Technology has benefited a lot.
From a technical perspective, Beijing Lingao Technology is based on Amazon Cloud Technology’s three types of cloud services: basic cloud services, large language models, and data storage, as well as Amazon The elastic scalability, high availability, low latency, strong reasoning capabilities and other features of cloud technology products build the Vanus platform .
Specifically, BeijingLingao Technology utilizesAmazon Elastic Kubernetes Service (Amazon EKS) The elastic expansion capability based on network traffic enables the Agent built by Vanus AI to smoothly and elastically expand according to user business traffic. Helping enterprises reduce average costs by 30% and increase cost performance by 20%;
Via Amazon DocumentDB Native 3 Availability Zone, 6Copy of Design, Beijing Lingao Technology not only improves the availability and reliability of the system, but also achieves a service level agreement (SLA) of no less than 99.99% uptime.
At the same time, with the help of Amazon Simple Storage Service (Amazon S3) and the high concurrent data query capabilities of the database, Improved large model context loading time; and Amazon Cloud Technology's global network node acceleration capability reduces Agent response system delay by 40%, greatly reducing the delay.
Claude model provided by Amazon Bedrock, Provides very strong language understanding and logical reasoning capabilities for the AI Agent of the Vanus platform.
Through the easy-to-use and powerful cloud services provided by Amazon Cloud Technology, Vanus encountered the Most technical questionscan be answered onAmazon Cloud Technology. In addition, Amazon Cloud Technology also provides a full range of technical services, including technical solutions and architects, to accelerate the implementation of Vanus products.
From the perspective of promotion resources and support, Amazon Cloud Technology helps Beijing Lingao Technology accelerate product entry market. 李Qipeng said that since Beijing Lingao Technology is a start-up company driven by technology, Therefore, resources are not abundant in operations, market , etc., and users need to be aware of the new brand. The process of knowledge and acceptance is a big challenge for start-up companies. But Amazon Cloud Technology Partner Network (APN) helps BeijingLingao Technology’s products quickly be introduced to the market and get more Exposure, also met many channel partners.
李QipengWhen interviewed, said " Special thanks to Amazon Cloud Technology for bringing us certainty and helping us build a stable and robust data base so that we can easily face the uncertainty of user business. #In the future, Amazon Cloud Technology
will continue to lead the construction of data base Three essentialsCoreCapabilities, i.e., model fine-tuning and pre-training required data processing capabilities, utilization of specialized The ability to quickly combine data and models to generate unique value, as well as the ability to effectively process new data to promote the continued and rapid development of generative AI applications, helps enterprises succeed in the era of generative AI and will bring more "uncertain" turns into "certain".
The above is the detailed content of Working with Amazon Cloud Technology, Beijing Lingao Technology helps enterprises seamlessly combine large models and data. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

The Generative AI Working Group established by the President's Council of Advisors on Science and Technology is designed to help assess key opportunities and risks in the field of artificial intelligence and provide advice to the President on ensuring that these technologies are developed and deployed as fairly, safely, and responsibly as possible. AMD CEO Lisa Su and Google Cloud Chief Information Security Officer Phil Venables are also members of the working group. Chinese-American mathematician and Fields Medal winner Terence Tao. On May 13, local time, Chinese-American mathematician and Fields Medal winner Terence Tao announced that he and physicist Laura Greene will co-lead the Generative Artificial Intelligence Working Group of the U.S. Presidential Council of Advisors on Science and Technology (PCAST) .

Image source@visualchinesewen|Wang Jiwei From "human + RPA" to "human + generative AI + RPA", how does LLM affect RPA human-computer interaction? From another perspective, how does LLM affect RPA from the perspective of human-computer interaction? RPA, which affects human-computer interaction in program development and process automation, will now also be changed by LLM? How does LLM affect human-computer interaction? How does generative AI change RPA human-computer interaction? Learn more about it in one article: The era of large models is coming, and generative AI based on LLM is rapidly transforming RPA human-computer interaction; generative AI redefines human-computer interaction, and LLM is affecting the changes in RPA software architecture. If you ask what contribution RPA has to program development and automation, one of the answers is that it has changed human-computer interaction (HCI, h

▲This picture was generated by AI. Kujiale, Sanweijia, Dongyi Risheng, etc. have already taken action. The decoration and decoration industry chain has introduced AIGC on a large scale. What are the applications of generative AI in the field of decoration and decoration? What impact does it have on designers? One article to understand and say goodbye to various design software to generate renderings in one sentence. Generative AI is subverting the field of decoration and decoration. Using artificial intelligence to enhance capabilities improves design efficiency. Generative AI is revolutionizing the decoration and decoration industry. What impact does generative AI have on the decoration and decoration industry? What are the future development trends? One article to understand how LLM is revolutionizing decoration and decoration. These 28 popular generative AI decoration design tools are worth trying. Article/Wang Jiwei In the field of decoration and decoration, there has been a lot of news related to AIGC recently. Collov launches generative AI-powered design tool Col

Generative AI is a type of human artificial intelligence technology that can generate various types of content, including text, images, audio and synthetic data. So what is artificial intelligence? What is the difference between artificial intelligence and machine learning? Artificial intelligence is the discipline, a branch of computer science, that studies the creation of intelligent agents, which are systems that can reason, learn, and perform actions autonomously. At its core, artificial intelligence is concerned with the theories and methods of building machines that think and act like humans. Within this discipline, machine learning ML is a field of artificial intelligence. It is a program or system that trains a model based on input data. The trained model can make useful predictions from new or unseen data derived from the unified data on which the model was trained.

Generative artificial intelligence (GenAI) is expected to become a compelling technology trend by 2023, bringing important applications to businesses and individuals, including education, according to a new report from market research firm Omdia. In the telecom space, use cases for GenAI are mainly focused on delivering personalized marketing content or supporting more sophisticated virtual assistants to enhance customer experience. Although the application of generative AI in network operations is not obvious, EnterpriseWeb has developed an interesting concept. Validation, demonstrating the potential of generative AI in the field, the capabilities and limitations of generative AI in network automation One of the early applications of generative AI in network operations was the use of interactive guidance to replace engineering manuals to help install network elements, from

Gu Fan, General Manager of the Strategic Business Development Department of Amazon Cloud Technology Greater China In 2023, large language models and generative AI will "surge" in the global market, not only triggering "an overwhelming" follow-up in the AI and cloud computing industry, but also vigorously Attract manufacturing giants to join the industry. Haier Innovation Design Center created the country's first AIGC industrial design solution, which significantly shortened the design cycle and reduced conceptual design costs. It not only accelerated the overall conceptual design by 83%, but also increased the integrated rendering efficiency by about 90%, effectively solving Problems include high labor costs and low concept output and approval efficiency in the design stage. Siemens China's intelligent knowledge base and intelligent conversational robot "Xiaoyu" based on its own model has natural language processing, knowledge base retrieval, and big language training through data

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

The rise of artificial intelligence is driving the rapid development of software development. This powerful technology has the potential to revolutionize the way we build software, with far-reaching impacts on every aspect of design, development, testing and deployment. For companies trying to enter the field of dynamic software development, the emergence of generative artificial intelligence technology provides them with unprecedented development opportunities. By incorporating this cutting-edge technology into their development processes, companies can significantly increase production efficiency, shorten product time to market, and launch high-quality software products that stand out in the fiercely competitive digital market. According to a McKinsey report, it is predicted that the generative artificial intelligence market size is expected to reach US$4.4 trillion by 2031. This forecast not only reflects a trend, but also shows the technology and business landscape.
