The Chinese version of ChatGPT is here! How to Interpret the Technological Changes ChatGPT Will Bring

Recently, ChatGPT is really hot! All platforms are making overwhelming publicity. I believe that in these few days of publicity, everyone has a general understanding of ChatGPT, and we will briefly introduce it here. According to ChatGPT's self-introduction, it is a pre-trained language model with a high degree of natural language processing capabilities, capable of generating human language and answering questions. ChatGPT can generate unique answers in a conversational and humanized way by collecting information from millions of websites, providing users with a series of services such as writing papers, writing code, designing business plans, and serving as people's therapists. Currently, the way to use ChatGPT is to enter a question and it will generate a corresponding answer. 

While ChatGPT exploded in China, it also aroused our expectations. Can we make a Chinese version of ChatGPT ourselves?

 

On February 7th, Baidu has invested in the development of related technologies similar to ChatGPT. According to the official confirmation of Baidu, the name of the project is "Wen Xin Yi Yan", and the English name is "ERNIE Bot". It will complete the internal test in March and open to the public open. Currently, the project is in the sprint stage before the official launch.

It is reported that Baidu has developed the Wenxin ERNIE 1.0 system since March 2019, and in 2020 Baidu Search began to apply the "Wenxin Large Model" to enable search relevance, in-depth question and answer, and content understanding. At present, related functions of Wenxinyiyan are also being launched or tested on Baidu Search, including multiple answer replies, intelligent generation, etc.

Baidu has a full-stack layout in the four-tier architecture of artificial intelligence. Including the underlying chips, deep learning frameworks, large models, and top-level search applications. And Wenxin Yiyan is located at the model layer. Baidu has been deeply involved in the field of artificial intelligence for more than ten years. It has an industrial-level knowledge-enhanced Wenxin large model ERNIE, and has cross-modal and cross-language in-depth semantic understanding and generation capabilities. I believe that in the near March, Baidu will bring us a big surprise! And Wen Xin's word will also draw an epoch-making stroke under our witness!

Regarding the continuous innovation of artificial intelligence technology and the popularity of ChatGPT, Baidu President Robin Li once said: Whether it is generative artificial intelligence or ChatGPT, they are all new things, and they are all new opportunities generated after the development of artificial intelligence technology to a certain extent. However, although technology can achieve this step, there are still many uncertainties in this chain of what kind of product it will become and what kind of needs this product can meet.

The words of Mr. Li Yanhong are thought-provoking. Is it not the same to replace artificial intelligence with low-code and replace it with the current low-code development? The popularity of low-code is also a development tool that has been continuously innovated and improved due to the social background and technological progress.

 

The maturity of cloud computing technology and the trend of mobility provide the technical foundation for Low Code 2.0. On the eve of the World Wide Web, computer networks were isolated islands, and the Internet broke these islands. Similarly, information islands and cloud islands are not uncommon today, and low-code used to be used as a development tool was only building islands.

But the imagination of "low-code + cloud" will not stop there. If an "interconnected and symbiotic ecology" can be formed, it may break the current application-to-application, enterprise-to-enterprise, developer-to-developer islands. The code reuse rate is greatly improved, which in turn triggers a leap in efficiency.

Taking the JNPF rapid development platform as an example, it has created a large number of "hard core achievements" for software services, manufacturing, education, government services and other fields, accumulated rich technical experience, and accumulated a large number of general solution templates for customer experience. Quickly solve the pain points of the scene and empower the enterprise with digital intelligence. Welcome to the official website of the product to experience it.

JNPF deeply integrates java+.net core dual-technology engine, which has many characteristics such as easy maintenance, convenient deployment, high integration, and high efficiency. Life cycle capabilities. At the same time, it supports multiple cloud environment deployments, and local deployments provide maximum security, which can help enterprises quickly build products suitable for their own application scenarios.

The system is deployed locally, and the data is more secure and controllable. It is also equipped with other deployment methods such as SaaS and public cloud. In addition, JNPF provides full source code delivery of the platform. Based on the code generator, the code can be downloaded locally after the code is automatically generated. It can be customized and built in the platform according to the actual functional requirements and business logic, so that users have no worries.

 Support localization deployment and establish its own IT infrastructure and standards. In the process of enterprise digital transformation, the standard optimization of ERP, CRM and other aspects involves the transformation of the core structure of the enterprise and the processing of a large amount of key information data. It is necessary to ensure the controllability of risks to a high degree and realize the independent control of the digital system.

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Origin blog.csdn.net/shshshhhhh/article/details/129010373