ChatGPT makes 2023 the year of AI. Just as the iPhone ushered in the age of smartphones in 2007, we are now entering the age of artificial intelligence.
Under the new situation, how should zero code take advantage of the momentum? Partner cloud "AI + zero code" gives the answer.
As the leading platform in the zero-code field, Partner Cloud has fully released the [AI zero-code application building platform] , which does not require separate training or additional investment for users. According to the specific needs, scenarios, and purposes of users, AI automation applications can be built.
The report "Top 10 AI Trends That Will Change Enterprises in 2023" shows that among the top 10 AI technologies that affect enterprise work efficiency, insight and customer experience, AIGC (called AGI abroad) ranks first, and low-level technology ranks fourth . Code, zero code development application.
Partner cloud [AI zero-code application building platform] combines the two to create a new species of "AI + zero-code", which will further accelerate the process of "the era of development for all", so that business personnel without programming background can quickly build their own zero-code AI applications.
0 1 A I 2.0 accelerates its landing, and zero-code entry is at the right time
In the face of the changing situation of AI, how should we proceed when specific industries are implemented? Borrowing from the viewpoint of "Xunzi Encouraging Learning", AI can be summarized into three stages, and there are different landing strategies in different stages.
A I 1.0 stage : "The accumulation of soil makes mountains, and the wind and rain rise."
AI 1.0 is an AI based on a small model neural network. As long as there is enough training, the machine can be made to do some specialized things. However, these technologies are all vertical small models that require a lot of manual labeling and targeted training. They are expensive and have limited application scope. They cannot be popularized to all small and medium-sized enterprises and application scenarios, and cannot create value for the comprehensive digitization of enterprises.
A I 2.0 stage : "Accumulated water creates abyss, and dragons grow."
AI 2.0 is based on a large model, using a large amount of public data for unsupervised pre-training, and then fine-tuning it with a small amount of labeled data (Finetune), so as to achieve artificial intelligence with general knowledge capabilities. When the model is large enough, some unexpected magical functions will emerge. As we see today, ChatGPT is based on generation rather than understanding to complete chatting, writing, translating, answering questions and even doing math problems.
The amount of parameters and training volume of GPT model iterations have increased exponentially, making AI grow from an experimental technology to a stable productivity. With the evolution of computing power, algorithms, and data volume, high-quality AI application products continue to emerge in the industry, such as Microsoft New Bing, AI painting, AI composition, etc., reflecting the potential of AI large models in multiple fields in the future.
The acceleration of AI evolution is also an opportunity for enterprise-level digitalization to be fully popularized by artificial intelligence. Through "zero code + AI", the cost of implementation and construction is reduced, and the scope of application is greatly expanded, and application scenarios that can popularize all small and medium-sized enterprises are derived, creating value for the comprehensive digitalization of enterprises.
A I 3.0 stage : "Accumulate goodness and become virtue, and the gods are content, and the sacred heart is ready."
AI 3.0 is a real self-learning, self-growing, and self-evolving silicon-based intelligent body itself. It can not only pass the Turing test, but even produce some kind of "self-awareness" and even "moral sense"...
The future has accelerated, we are at a turning point in history, and it can be concluded that this turning point will be very fast. What we can do is to apply AI 2.0 to specific application scenarios based on the present, so as to promote the rapid development of productivity and meet greater challenges in the future.
02Partner cloud AI application : redefine the zero-code construction process
Partner Cloud believes that the most valuable combination of AI and low-zero code is the system modeling itself. Partner Cloud launched China's first publicly released [Smart Zero-Code Application Building Platform] that is open to all users and uses AI to redefine the zero-code building process.
1. Traditional zero-code construction is often stuck in the modeling process
In the past, when using zero-code, you usually have to go through several steps: requirements→modeling→building→debugging→application . Among them, modeling is the link that stumps most users.
Because modeling requires a lot of brainpower for builders, the requirements for a digital management system must be abstracted into complex table structures, field types, association correspondence, process logic, and data indicators. Without the painstaking transformation of the application builder, it is difficult to effectively build a system.
2. The combination of partner cloud AI and low-zero code : starting from system modeling, redefining zero-code application construction
At present, many enterprises at home and abroad are using AI for text generation AI scenarios such as chat, writing, entertainment, and Q&A, but there are few application scenarios using AI for modeling. Partner Cloud believes that the so-called large model is essentially the process of modeling with hundreds of millions of parameters - using a large model to do the modeling itself is the most suitable thing for a large model .
Therefore, the most valuable combination of AI and low-zero code is not only assisted writing articles, dialogue robots, knowledge questions and answers, and text refinement, but also system modeling itself.
With the blessing of AI, the process of using the partner cloud to build applications will become like this: human needs → AI modeling → AI construction → AI debugging → human applications .
This will greatly alleviate the pain points of users who are difficult to model and build, and allow low-code to evolve to zero-code + AI, truly achieving no programming, no need to burn brains, natural language building systems, and end-to-end delivery, so as to benefit everyone To every enterprise and individual who expect to achieve digital transformation.
03Partner Cloud [AI zero-code application building platform]: Build AI automation applications according to specific needs, scenarios, and purposes
Partner Cloud released [AI zero-code application building platform], which is committed to building China's first publicly released [AI zero-code application building platform] that is inclusive to all users, serving various application scenarios of large and medium-sized enterprises. There is no need for individual training by users, no additional investment, and AI automation applications can be built according to specific needs, scenarios, and purposes of users.
1. In a word , build the system
When users have only one idea, they can try to describe the system in one sentence, so as to get a pre-built effect, and at the same time see the thinking and inspiration of other users.
2. Subdivided industries , personalized construction
If the user is in a subdivided industry, the logic of which is different from that of most general industries, don’t worry—this is the job of the low-zero-code system itself. Take this unpopular industry system "Nutritional Catering Industry" as an example. Users need to manage the amount of ingredients, cooking methods, calories, and nutritional components of recipes. Then our AI assistant trained by large models is also capable of meeting your needs. need.
3. Subdivide the scene , build AI to meet special needs
When users expect to meet certain super-personalized scenarios, purposes and needs, they may have to find a project outsourcing team or purchase customized construction services in the past.
Now, you can influence the result of AI construction by specifying the purpose, function, and modules, so that the system functions can be focused on the subdivision areas you care about, so as to meet key needs more directly and specifically.
04The future of partner wisdom
1. From drag and drop to natural language communication
The current AI construction is just beginning, and there are still many imperfections. Partner Cloud will continue to explore and provide users with more and more productivity value. Many previously unimaginable AI assistance will gradually become reality, including but not limited to:
· Dialogue interactive system construction and interface operation
· Dialogue interactive dashboard construction and data analysis
· Dialogue interactive system customization and upgrade
·Data Interpretation, Trend and Forecast
Content (picture, voice, etc.) sentiment analysis and key point extraction
·Personalized speech generation
......
2. A small step today, a sea of stars in the future
According to Gartner's forecast, by 2026, 80% of low-code tool development users will be business technologists (Business Technologists) in enterprises, who understand business but have no professional programming background. They will use their understanding of business and their enthusiasm for digital collaboration and systematic operation to implement business, operation, and management requirements on the partner cloud through AI intelligent construction, and quickly iterate with the requirements to achieve personalized, Timeliness and systematic demands cannot be met by using standard software and non-intelligent low-code platforms in the past.
3. Zero-code AI journey , start now...
The smart AI building of Partner Cloud is not a DEMO, internal test or paid option. Any user who registers Partner Cloud ( https://app.huoban.com/v5 ) can enter "AI Build" in the place where the form is created. And get 50 AI building system permissions for free, which is enough to build a number of digital systems that meet the needs- no payment, no invitation code, and enjoy the fun of productivity improvement .
Thursday, April 20 at 14:30
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