"AI Generation Application" Yanhuang Yingdong released the first AI low code platform in China.

AIGC(AI Generated Content) and its application topics are growing explosively. With the continuous penetration and integration of industry and technology. 36Kr Research Institute has an insight that AIGC not only continuously enhances the quality, efficiency and practicability of content production, but also extends its radiation breadth. Among them, the breakthrough of key technologies and basic theories will become an important factor in the ecological landing of AIGC industry.

On March 9th, Yanhuang Yingdong officially released the first AI low-code platform in China, as a successful attempt to inspire the integration of ToB software industry and AIGC, marking that the low-code field has officially entered a new stage of integration with AI generation applications.

"Based on the AGI (Artificial General Intelligence) language model, the application to be developed is understood through natural language, and the reasoning result is transformed into an application model structure that conforms to the aPaaS platform, and then the same effect as the artificial application is shown". On the landing side, Liu Jinzhu, CEO of Yanhuang Yingdong, explained to 36Kr the company’s accumulation and precipitation in MDA(Model Driven Architecture) technology and years of exploration of AI application scenarios in recent 20 years, and finally found a breakthrough point in the combination of MDA and AIGC, which provided basic conditions and experience support for the landing of low-code platform for AI generation application.

AI generation application is the core capability of the next generation AI low code platform.

Low-code development platform refers to a tool that can quickly generate applications without coding or through a small amount of code. On the one hand, it can reduce the labor cost of enterprise application development, on the other hand, it can double the development cycle and help enterprises reduce costs, increase efficiency and iterate flexibly.

According to Forrester analyst Lu Guannan, the existing exploration scenarios based on Generative AI (also called AIGC) technology cover text generation, image generation, video generation and code generation. At present, there is no case of directly generating commercial applications in production environment through generative artificial intelligence in China. In addition, Gartner once pointed out in the research report that the global low-code development platform can be divided into head SaaS enterprises and general platform enterprises. In the early days, the path of the integration of AI and low-code development platform was that the head SaaS enterprise realized the communication between AI technology and tool software by integrating generative AI, thus helping users to reduce repetitive, mechanical, rule-oriented work and even undertake creative work.Now, as a general platform enterprise, Yanhuang Yingdong has implemented the second path of integration of AI and low-code development platform through model-driven architecture technology, combined with general artificial intelligence and generative AI.

On the one hand, AI generation application can assist ordinary people or product managers to directly generate the desired application system, and AI automatically generates results according to the input application name; On the other hand, supplementary requirements can be input to emphasize AI’s understanding of generation requirements. From this, we can see that the low-code field is welcoming a revolutionary breakthrough: from passive acceptance to inspired creation, AI generation application is the core capability of the next generation AI low-code platform.

Take the "Easy Whale Cloud" low/no code platform as an example,In the testing stage, based on the AIGC mode, when the user inputs the desired application name (such as invoicing), the platform infers the relevant contents of invoicing through the AI products trusted by the user, and automatically assembles a complete application. When the AIGC generation application is not satisfied, the user’s personalized needs can be met by dragging and dragging, and the iteration continues.

「Before」Hand-built, complete the initial structure in hours.

「After」AI generates applications and completes the initial structure in seconds.

It is worth mentioning that in order to let some people "try early" first,Yanhuang Yingdong has opened the trial invitation code for new and old customers, experts in the field of AI and low code.It is reported that on March 18th, the 2nd Low Code Geek Challenge jointly organized by Yanhuang Yingdong and Low Code Times was held in Shanghai, and the contestants had the opportunity to give priority to using the "Easy Whale Cloud" AI low/no code platform for AI generation applications."Easy Whale Cloud" official website will also issue trial accounts to registered users in a limited time., used for communication and interaction.

Similar to AI generation application, AI generation code refers to letting AI learn programming technology and write high-quality code according to learning, which is used to assist programmers to realize code completion, algorithm logic generation, language conversion and application program generation. Today, AI code generation is more and more deeply involved in the actual programming work. With the rapid development of IT productivity, the related thinking and discussion about AI accelerating digital talents and its influence on IT practitioners are gradually heated.

Thousands of industries have zero threshold, and everyone is a developer.

According to Xu Enqing of Yunda Institute of China ICT Institute, AIGC will drive the development of low/code-free high level, which is reflected in the following three aspects:

-Technical side: program developers can develop software through natural language instructions, expand visualization resources on a large scale, and improve the controllability of application code;

-Application side: AIGC helps non-programmers to quickly enter the creative environment of application construction and accelerate the development process of national development;

-Market side: AIGC provides diversified solutions in a short time, and cooperates with low/no-code technology to complete some more complex business innovations.

The industry is blowing the horn of a new wave. The low-code platform for AI generation application is expected to open a new AIGC track, which will empower all industries to cultivate digital talents, accelerate digital transformation and build digital China.

In the past, there were some problems in the communication between business personnel and IT, such as poor timeliness, inaccurate information and high communication cost. Correspondingly, the low-code platform supporting AI generation application accurately realized the participation of digital talents in the whole process from conception, testing, optimization to landing. On the one hand, the diversity of AI generation applications brings more inspiration and innovation to digital talents and enhances the digital innovation of society. On the other hand, it is also accelerating the implementation of the goal of "everyone is a developer" and the construction of digital talents.

Bright road ahead, higher productivity and stronger sense of innovation.

For enterprises, paying more attention to the low-code platform supporting AI generation applications, how large customers can be delivered, and how complex application scenarios can be developed in which industry application scenarios are the core concerns. In this regard, Jiang Yufei, the head of Hongsheng Beverage Informatization, believes that the "Easy Whale Cloud" AI low/no code platform that uses AI to generate applications has the following characteristics:

-Rapid increase in efficiency: completing an initial concept application, and improving productivity by 2 to 3 exponential levels;

-Rich capabilities: storage, forms, rules, processes and reports can be automatically generated;

-Auxiliary building: In addition to automatically generating complete applications, you can also use AI to build local functions in your own built applications;

-Simple modification: An important feature of AIGC is that people can participate and drag and drop to modify the prototype generated by AI, without code or Bug.

From the traditional programming to the low-code platform supporting AI-generated applications, the speed of application construction is increasing exponentially. Yanhuang Yingdong released the first low-code platform of AI in China this time. While opening a new curtain of the era, the integration trend of AI-generated applications and industry technologies also shows a broader prospect. "Although the low-code platform supporting AI-generated applications generates relatively simple applications limited to business and management in the ToB field, further imagination of generating applications may soon reach the link between AI and AI, and the link between low-code ecology and AI ecology. Undoubtedly, the next stage of development in the low-code field has arrived."

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[Recommended collection] Heavy! Panoramic map of Zhejiang artificial intelligence industrial chain in 2023 (with industrial policy, industrial chain status map, spatial layout of industrial resources

Analysis report of artificial intelligence industry: With the breakthrough of computing power, big data and algorithm model and the promotion of new digital infrastructure, Zhejiang Province has developed rapidly based on the basic advantages of digital economy. Zhejiang University has built the first interdisciplinary subject of artificial intelligence in China and started the research plan of brain science and artificial intelligence convergence (referred to as "double brain plan"); Alibaba City Brain and Hikvision have been selected as the national new generation artificial intelligence open innovation platform, and Zhejiang Province is at the forefront of the country in terms of scientific research and application in the field of artificial intelligence. As of February 2023, Zhejiang Province has gathered more than 800,000 enterprises in the whole industrial chain of artificial intelligence; The total annual operating income of the artificial intelligence industry exceeds 300 billion yuan. This paper will analyze the artificial intelligence industry in Zhejiang Province from the aspects of industrial policy, industrial chain status map, spatial layout of industrial resources and industrial chain development planning. Major listed companies in the industry: Alibaba (09988.HK); Netease -S(09999.HK); Hikvision (002415.SZ)

Goodbye, Paris! Barcelona’s two top wives took a happy photo, and Messi changed his mind for the retirement celebration.

Miami International, which has been rumored a lot before, is quite attractive in terms of salary and gift to the future franchise of the AFL. But Messi doesn’t want to leave the five major leagues so early, because Messi still wants to stay in shape and participate in the Copa America. Therefore, going to the United States to play football is not within Messi’s consideration, at least in these two years. Messi shook hands with Barcelona President laporta and smiled when he left the FIFA official award ceremony. This operation has made everyone see the reconciliation between Messi and laporta.

Tenhah’s Requirements for Anthony and Peristeri’s Experience on the Growth of Football Players

Recently, after a game, Tenghahe publicly asked Anthony to play more bravely in the game. He thinks Anthony can do better in the first half, run more, be bold, and especially need to use his own speed to run more on the court and go deep behind his opponent. In this way, he can better show his strength and skills.

Peristeri joined from Penarol for 9 million yuan in October 2020, but he has not been able to play for two and a half years, and once faced a purge. This is undoubtedly a very embarrassing situation, but as an excellent football player, he should adjust his mentality in time, improve his training level and strive to pursue his dreams.

Football, as one of the most popular sports in the world, requires football players to carry forward the spirit of teamwork, constantly improve their skills and abilities, and have indomitable spirit. As a promising young player, Anthony should listen to the coach’s guidance, accept challenges, constantly improve his skills and abilities, overcome difficulties and make continuous progress.

For Peristeri, although he is facing certain competitive pressure in the team, only through constant efforts and efforts can he get more playing opportunities, show his strength and potential, and succeed in the football field.

As football players, we should always keep in mind our responsibilities and missions, constantly improve our skills and abilities, and at the same time always pay attention to the needs of the team, strive for victory for the team and strive for our dreams. I believe that as long as you persist, you will be able to reap the victory and honor you desire.

It took Ancelotti 139 games to reach the Yum! milestone in La Liga, second only to Guashuai’s 132 games.

Live on March 11th, in this round of La Liga, Real Madrid defeated the Spaniard 3-1, and Ancelotti also won the 100th La Liga victory in his coaching career.

According to statistics, it took Carlo Ancelotti 139 games to reach the milestone of 100 victories, which tied with Mu? oz as the fastest coach in the history of Real Madrid. In the history of La Liga, only Guardiola took 132 games to reach the winner.

(Chenpi is not orange)

Premier League: Tottenham 3-1 Nottingham Forest, ranked fourth in the league, Kane double-rang, Sun Xingyu scored.

In the 27th round of Premier League in 2022/23, Tottenham Hotspur played at home against Nottingham Forest. In the 3rd minute, Richard Lisson’s goal was blown, and then harry kane scored two goals in a row. In the 62nd minute, Richard Lisson assisted Sun Xingyu to break the net. In the 82nd minute, voller scored with a header. In injury time, Foster saved Ayu’s penalty. At the end of the game, Tottenham beat Nottingham Forest 3-1, and its lead over Liverpool (5th in the league) was extended to 6 points.

Competition focus

1. Kane has scored 20 Premier League goals this season, including 8 headers. In the history of Premier League, only duncan ferguson has scored more goals in a single season (9 goals in 1997/98) than Kane.

2. Richard Lisson’s goal was disallowed, but he created a penalty and assisted the team with a goal.

3. I played against the capital team four times this season, and Nottingham Forest didn’t get 1 point.

4. After this game, Tottenham was 6 points ahead of Liverpool and held the fourth place in the standings.

5. Only 7 minutes after the substitute appeared, chris wood was replaced by his teammates because of injury.

Wonderful review

Only 3 minutes after the opening, Skip sent an accurate long pass, and Richard Lisson was inserted into the restricted area, and his right foot volleyed into the upper corner. However, after VAR playback, Richard Lisson was offside and the goal was invalidated.

In the 19th minute, Tottenham finally broke the visiting team’s gate, Richard Lisson flew back, Polo made a cross, and Kane pressed Felipe’s head hammer to break the net!

The 30th minute, Heibel crosses from the right, and Ben Davies’s head is wide!

In the 33rd minute, Kane went straight through the crotch, and Richard Lisson cut the ball and was knocked to the ground by Joe voller. The referee decisively awarded a penalty.

Kane walked to the 12-yard mark. He tricked keylor navas and pushed into the upper corner steadily, with Tottenham leading 2-0.

In the 45th minute, Brennan Johnson hit the front of the restricted area, and shelvey volleyed wide.

In the 60th minute, Nottingham Forest launched a quick counterattack. White divided the ball to the right, and Johnson’s low-angle shot was confiscated by Foster.

In the 62nd minute, Tottenham Hotspur expanded its lead, Richard Lisson passed his right foot to the back, arie grabbed the air, and Sun Xingyi quickly adjusted his left foot to shoot low and break the net!

In the 76th minute, White kicked the left corner, arie threw his head and attacked the goal, and Foster bravely blocked it.

In the 82nd minute, White kicked the left corner again, Felipe rubbed it before and after, and voller pushed it into an empty net.

Technical statistics

Player rating

Appearance lineup

Tottenham Hotspur: 20- Fraser Foster, 17- Christian Romero, 15- Dale, 34- Langlais, 23- Polo, 4- Skip, 5- Khyber, 33- Ben Davies, 9- Richard Lisson (84’21- Kulusevski), 7-.

Nottingham Forest: 12- navas, 32- Renan Lodi, 4- Joe voller, 38- Felipe, 24- arie, 6- shelvey, 5- Mangala (46’34- Andre Ayou), 23- Freuler (67’22- Yates), 11-.

Potter: It’s always difficult to play Blue Fox, but we should win three consecutive victories a week to show the progress of the team.

Live on March 12th, the Premier League game ended before, Chelsea beat leicester city 3-1 away. After the game, Potter was interviewed.

Porter: "This week is a positive week for us. Before that, we beat Leeds United and Dortmund. Today shows the progress of the team. It was a tough game, and the opponents were always so difficult to deal with, but in the end I think we should win. "

"In the Premier League, our defensive end has been very good and the team’s mentality is also very strong. They gave everything, they wanted to keep the ball out of the goal, and our offensive players wanted to hit the ball into the net.

At this level, it is very happy to win three times a week. Now we must win another victory next weekend and then enter the international competition day. We will try to get three points against Everton. "

About Chilwell and Fofana Facing the Old Master

"Chilwell answered this question with perfect performance. It was a game that the home fans made difficult, but they handled it well. This is not a simple game. leicester city has a chance and we have to defend well, but as the game progresses, the situation will get better. "

Double milestone! Messi unlocked the club with 300 assists and Paris scored 3000 goals in the top league.

# brest 1-2 Paris Saint-Germain # # Paris Ligue 1 3000th goal # # Messi Club career 300th assists # 【 Double milestone! Messi unlocked the club with 300 assists, and Paris scored 3000 goals in the top league.] In the Ligue 1 match that ended before, Paris beat brest 2-1. In the 90th minute, Messi sent an assist and Mbappé finished the lore.

It is worth mentioning that Messi won the 300th assist in his personal club career, including 269 assists in 672 games in Barcelona and 31 assists in 65 games in Paris.

At the same time, this goal is also the 3000th official goal of Paris Saint-Germain in the top league.

Take the pulse of Paris! Why is the MMN combination always a little less interesting?

Bayern Munich beat Paris Saint-Germain 2-0 and eliminated Paris 3-0. Let’s feel the pulse of Paris! Why is such a dazzling MMN combination always a little less interesting?

There is actually no problem with the superstar policy. Can’t you make achievements by piling up stars? Of course not. Superstars can certainly play a huge role, and MMN combination has not much to criticize in terms of data or overall performance.

But Paris forgot one of the most basic things; It is also a well-known truth-football is a sport for 11 people!

How much water a bucket can hold is not determined by the longest board, but by the shortest one! The introduction of Neymar and Mbappé Messi into Greater Paris has obviously improved the strength and influence of the team. Although the practice of piling up superstars was ridiculed as nouveau riche, the effect was immediate. But football is always round. It will always be a team sport, and no matter how strong the superstar is, it is impossible to replace the role of every teammate.

In the Champions League match against Bayern, this is very obvious. The "two-level differentiation" of the Paris lineup is extremely obvious. In some positions, the strength and worth of Paris players have obvious advantages, but the more the players with lower worth, the greater the advantage of Bayern.

We can see the clue by comparing the value of substitute players in Bayern’s 2-0 victory over Paris.

Bayern’s substitutes are: Sane (German turn price 70 million pounds), Mane (German turn price 60 million pounds), Gnabry (German turn price 65 million pounds) and Cancelo (German turn price 70 million pounds).

In contrast, the substitutes in Paris are: beernaert (Germany’s turn price is 10.8 million pounds), Ekitik (Germany’s turn price is 25.2 million pounds), Helun Annali (Germany’s turn price is 4.5 million pounds), Mujele (Germany’s turn price is 18 million pounds), and Bish Abu El (Germany’s turn price is 1.8 million pounds).

The average value of the four substitutes in Bayern reached 65.25 million pounds, while the average value of the five substitutes in Paris was only 12.06 million pounds!

Although there are several superstars such as Messi, Neymar, Mbappé, Virathit and Ashraf among the starting players in Paris, the ability and value of the players drop precipitously as they count backwards.

A real giant team must be a team with a balanced lineup. The team lineup must have no obvious shortcomings. Even if it exists on the bench, it must be a star who can be independent. Unfortunately, Paris has always been dominated by a lineup, and there are obvious loopholes in the starting lineup, not to mention that the substitute lineup is simply two grades worse than other giants.

Each MMN combination is a phenomenal existence, but the sport of football has told us that it is impossible for a team to achieve real success without seeing the essence of a collective sport clearly!

Three Things ChatGPT Can Do and Two Things Chatgpt Can’t Do

ChatGPT is an artificial intelligence technology, which is a natural language processing technology developed by OpenAI, and can be used to generate text, answer questions, translate languages, etc. As an intelligent technology, ChatGPT can help people accomplish many tasks, but there are also some things that it can’t do. In this article, we will discuss three things that ChatGPT can do and two things that ChatGPT can’t do.

Three things you can do:

  1. Generate articles and texts

ChatGPT can generate high-quality articles and texts according to the input topics and keywords. For example, if you need to write an article about healthy eating, you can provide keywords and topics to ChatGPT, and then it will generate a related article for you. This technology can be used in advertising, marketing, news reporting and other fields.

  1. answer the question

ChatGPT can answer all kinds of questions, including factual questions and inferential questions. For example, you can ask ChatGPT, "What is quantum mechanics?" Or "Why should people pay attention to climate change?" ChatGPT will provide you with corresponding answers according to the information and reasoning ability in its database.

  1. translation language

ChatGPT can be translated into various languages, including Chinese, English, French and Spanish. For example, if you need to translate an English article into Chinese, you can input it into ChatGPT, which will generate a Chinese translated article for you. This technology can be used in international business, cross-cultural communication and other fields.

Two things you can’t do:

  1. Emotional understanding and human emotional communication

Although ChatGPT can answer all kinds of questions, it can’t understand human emotions and emotional communication. For example, if you tell ChatGPT that you are sad, it won’t understand your feelings and can’t provide you with effective psychological support.

  1. Independent thinking and innovation

ChatGPT is trained based on data and algorithms provided by human beings, and it can only generate and provide existing information and knowledge. It does not have its own independent thinking and innovation ability, nor can it produce brand-new ideas and concepts like human beings.

conclusion

ChatGPT is a powerful artificial intelligence technology, which can help us complete many tasks, including generating articles, answering questions and translating languages. However, it also has its limitations, such as the inability to understand human emotions and emotional communication, and the inability to think and innovate independently. Therefore, in the process of using ChatGPT, we need to recognize its limitations and make rational use of its advantages and characteristics to improve work efficiency and accuracy.

At the same time, ChatGPT is constantly improving and developing. In the future, with the continuous development of technology and artificial intelligence, we can expect ChatGPT to play a more important role in more fields and tasks. However, we also need to pay attention to the possible risks and challenges, avoid unnecessary misunderstanding and misuse, and ensure the safety and stability of technology.

In a word, ChatGPT is a powerful artificial intelligence technology, which can provide us with a lot of convenience and efficiency, but it also has its limitations and risks. When using ChatGPT, we need to recognize its characteristics and limitations, and explore and develop new methods and ideas while making rational use of technology, so as to promote the development and innovation of technology and create more value and contribution for mankind.