Table of contents
The best computing power performance lowers the threshold for enterprises
Most large models, most data sets to escort enterprises
Enterprise-level security is a mandatory requirement for enterprises
Preface
Ordinary people may not perceive it clearly, but for enterprises, in the era of AI, whether to choose to invest in large-scale models, whether to embrace artificial intelligence to improve enterprise productivity, has always been a serious topic; , making every enterprise eager to understand and use large models. But for small and medium-sized enterprises, a large model also means large investment, long cycle, and unstable business returns. However, AI dividends have already arrived, and if they fall behind, they will lose the market, which is really a difficult choice .
Nowadays, enterprises that want to use large-scale user models have an additional choice, that is, the Qianfan large-scale model platform has been upgraded to 2.0.
Enterprises that pay attention to large models have probably heard of Baidu Smart Cloud’s Qianfan large model platform, which is the world’s first one-stop enterprise-level large model platform launched by Baidu Smart Cloud. This platform provides enterprises with a leading full process of large model development The tool chain and the entire environment can be quickly applied and obtain high productivity . Developers can call Wenxinyiyan large-scale model service on Qianfan at any time, and can also develop and deploy their own large-scale model services for enterprises. It even supports various third-party large-scale Model.
Now the Qianfan large model platform has been upgraded to 2.0. This upgrade can be described as a major one. It has the most complete tool chain in China, the best computing performance, the most large models and data sets, and enterprise-level security. In the past, it took the technical team a month to debug and run the large model effect, but now it can be realized on the same day . For enterprises, there are several points that can be carefully analyzed.
For this upgrade, after systematic analysis, I can roughly divide it into two parts:
1. Is it an upgrade of the Qianfan platform itself? To what extent? There are 4 points to talk about.
a) The richest and most comprehensive tool chain: It allows customers to use a training model that does not need to be separated. Compared with some communities that can only test the effect alone, it cannot be connected to the actual use of enterprises, which is absolutely leading.
b) Optimum computing power performance: greatly reducing computing power costs and time costs, the threshold is now very low.
c) Enterprise-level security: Content and data security is a very important and rigid requirement for many enterprises.
d) The most large models and the most data sets: 42 large models, realizing the freedom of large models; 41 data sets, each with industry characteristics.
2. How does Qianfan platform support the industry? Thousands of industries go straight to the ground, covering the most industry scenarios.
a) Accurate and professional needs of vertical industries: complete reconstruction and upgrading of industry solutions in industry, finance, transportation, and government affairs;
b) General needs of the industry: General needs in the three fields of service marketing, office efficiency improvement, and production optimization, to meet the implementation of large-scale model planning in different industries.
Let’s talk about the upgrade of the Qianfan platform first. In fact, all the platform upgrades this time address the pain points of enterprise implementation.
For example, what is the richest and most comprehensive tool chain?
We know that if you want to debug a large model, all links from the development process to training, deployment, and application are actually closely integrated . For enterprise users in the past, if you choose the wrong platform, the capabilities and functions The lack of it will lead to problems in the process of landing, whether it is business matching problems, coordination problems or later maintenance, which will greatly increase the cost.
The complete tool chain of the Qianfan large-scale model platform can seamlessly connect various business processes throughout the life cycle, maximizing efficiency. The model effect that could only be achieved in the past month can be achieved on this platform on the same day.
In the development of any era, simplifying processes and not reinventing the wheel is an inevitable trend. I am glad that Qianfan Platform is the first to do so in China.
The best computing power performance lowers the threshold for enterprises
Qianfan Platform continues to upgrade its computing power services to further reduce customers’ computing power costs and time costs. When Wanka cluster trains large models, under conventional methods, engineers spend 30%-40% of their time on fault tolerance and failure recovery. Now, Baidu Intelligent Cloud's self-developed cluster network fault management mechanism enables the effective training time of the model to reach more than 95%, greatly reducing time costs. Based on the distributed parallel training strategy, the Qianfan platform’s acceleration ratio in a Wanka-scale cluster can reach 95%, fully releasing the overall computing power of the cluster. The Qianfan platform is also compatible with domestic and foreign mainstream chips and operating systems, and enterprise customers' algorithms can run on these hardware with minimal modification costs.
Most large models, most data sets to escort enterprises
Qianfan has currently settled in 42 large-scale models (such as ChatGLM2-6B, RWKV-4-World, MPT-7B-Instruct, etc.), which is the platform with the most large-scale models in the country.
①It can not only manage the large model, but also enhance its strength. The most important thing in this upgrade is to improve the Chinese understanding and generation ability of your large model. Even the foreign large model of LIama2 can also realize Chinese dialogue. Good Effect.
② 41 very high-quality data sets are pre-prepared internally, which are very industry-specific, easier to apply, and can be used with easy fine-tuning.
③It can be said that Qianfan Platform does not even think that this is the end point for application coverage, it is still just the beginning.
Enterprise-level security is a mandatory requirement for enterprises
Many customers not only require content and data security, but also have strict compliance requirements.
Qianfan's security mechanism has built 4 lines of security defense for enterprises, fully ensuring the content security, data security, and system security of large models; it also supports domestic and foreign mainstream chips and operating systems, and also supports privatized deployment, ensuring that each enterprise's own All large models are autonomously controllable.
To sum up, Qianfan Large Model Platform 2.0 has reached the domestic leading level in terms of computing power, tool chain, large model, data set, and even security. Its consideration of enterprise needs also makes me feel professional; a professional Regardless of how the large-scale model platform is upgraded in terms of data, the final practical issue to be considered is how to help enterprises realize the path from large-scale models to productivity. The upgrade of Qianfan large-scale model platform 2.0 has given domestic enterprises a signal that now is a good time to embrace large-scale models , then it is even more practical to talk about its implementation support for thousands of industries.
The first is the accuracy and professional needs of vertical industries.
Wenxin large-scale model has the largest scale of industrial implementation in China, and has the most abundant practical experience. Qianfan has supported the implementation of large-scale models in more than 10 industries such as government affairs, finance, industry, and transportation, among which the solutions for industry, finance, transportation, and government affairs The plan is further reconstructed and upgraded.
Among them, government affairs is very typical.
We all know that the government, as the heart of a society, must adapt to the rapid development of the times and deal with endless and complex issues. How to achieve rapid governance, efficient office, and convenient handling of affairs has been the core issue for almost thousands of years.
Baidu Intelligent Cloud's digital government solution "Jiuzhou" embodies unparalleled unity, is simplified but not simple, and takes advantage of nearly 200% of artificial intelligence.
For example, the "one-stop service" allows ordinary people to do things. The big model can understand all government affairs knowledge and terminology, and directly becomes an efficient [personal] assistant for every ordinary person.
The "one network unified management" delivery model understands urban problems and provides solutions, and the "one network collaboration" improves the government's internal office efficiency by dozens of times.
Government affairs problems have become unprecedentedly portable in the face of advanced solutions. The realization of these functions gives me the feeling that I have really stepped into a science fiction movie, especially for financial, transportation, and industrial solutions.
The industrial solution "Kaiwu" pays more attention to the generalization ability of large industrial models, builds more production lines quickly, and manages the entire industrial chain comprehensively, efficiently and intelligently based on its unique generative automation capabilities.
The intelligent transportation solution "ACE3.0" aggregates and generalizes the basic capabilities of vehicles, roads, clouds, and maps and all elements of transportation, creates a large traffic model, and effectively improves traffic perception, cognition, and predictive capabilities. For the traffic police department, the previous detection results were not very accurate for incidents such as the identification of spilled objects. Now that there is a large model, the recognition ability has been greatly improved.
The financial solution "Kaiyuan" liberates employees from inefficient and complicated work. Every day, financial analysts spend more than 70% of their time on information collection, data processing and internal and external communication. All kinds of "job assistants" created by Kaiyuan can efficiently process information and data, so that financial analysts can really spend their time on business analysis.
Professional fields have professional solutions, so how does Baidu Qianfan support the general needs of the industry ?
The focus is on three core areas: service marketing, office efficiency improvement, and production optimization.
It has released 11 cross-industry AI native applications to meet the general needs of different industries and accelerate the large-scale implementation of large-scale models. There are answers to everything you think.
For example: 【Enterprise Search Engine Zhenzhi】 that corresponds to improving the efficiency of corporate offices.
This AI application can understand the needs of employees across modalities and applications, and help find content. Using this application, every employee in your company is like having a professional mentor/assistant, who can quickly solve problems and push relevant documents , realizing the "knowledge search" employees not only solve problems quickly, but also can continue to learn and grow during the work process.
For example, in an enterprise, if an employee wants to do differentiated research, observation, form making, summary, and work for a few weeks, it can be completed immediately in one sentence, and some related documents will be given to you, allowing you to work easily and efficiently.
Similarly, other applications are also perfect to solve the common needs of the industry, so I will not introduce them one by one here.
The above systematic upgrades are actually complicated to say, but they are also very simple in layman's terms.
a) Comprehensive capabilities, fewer questions, more comprehensive tools.
b) It is powerful and can be quickly implemented and applied to achieve low-threshold entry for large models.
c) Universal solutions not only solve tool capabilities, but also solve real industry problems.
In other words, various complex problems can be solved simply by applying large models.
Many people may still have questions, what do other companies think of Qianfan?
In fact, thanks to the power of the Qianfan Big Model Platform, the number of monthly active companies on the Qianfan Big Model Platform has reached nearly 10,000, covering more than 400 scenarios in finance, manufacturing, energy, government affairs, transportation and other industries.
In terms of the actual landing effect, I believe there are many cases of well-known companies, and we have already contacted a lot.
(1) For example, the software application of [Kingsoft Office] has long enabled multi-modal generation scenarios such as PPT outline generation, sample writing, to-do list generation, and essay diagrams, etc. User evaluations are very good.
(2) Those who use commonly used enterprise management software must know [Kingdee Software], they are the first batch of test enterprise-level users of Baidu Smart Cloud, and they have actually implemented in AI application scenarios such as intelligent financial management, intelligent human resource management, and intelligent operation management. .
(3) There are also various large enterprises that we are familiar with such as Lenovo Group, iSoftStone, BlueFocus, Boderland, etc. Qianfan Ecosystem is still growing very rapidly as you read this article. .
All signs indicate that the upgrade of Qianfan large-scale model platform 2.0 means the maturity of the era of domestic AI intelligence.
The hesitation of early enterprises in the face of the arrival of artificial intelligence is gradually disappearing with the maturity of technology. Although the possibility of commercial returns still depends on the enterprise itself, the low cost and low risk are very practical, and the real cost reduction and efficiency increase cannot be achieved. negative.
Qianfan large-scale model platform 2.0 has brought subversive progress to various industries in China. After this upgrade, a large number of enterprises will embrace large-scale models, and people's lives will also rapidly realize rapid changes.