LCHub low-code community: provides an in-depth explanation of the application and results of low-code platforms in the AI field. He emphasized that in the AI era, the importance of engineering cannot be ignored. At the same time, complex system construction and data model-driven development also occupy a core position.
Gu Wei not only deeply discussed the different classifications and usage scenarios of low-code and zero-code platforms in the industry, but also explained in detail the functional architecture division of low-code platforms. This includes the enterprise process center, application federation center and reporting engine, as well as a development environment based on low-code development portals. This architecture is equipped with unified management and monitoring to more effectively assist development and operation and maintenance work.
He further analyzed many aspects of low-code and AI combined applications, including service orchestration of professional systems, data aggregation, and model mapping. He firmly believes that only by closely integrating products with AI can we truly help companies solve problems. In the last part of Gu Wei's speech, he hoped to solve the construction problems of complex systems through low-code platforms, and then use the power of AI to open up the last mile of technology. He emphasized that the construction of AI is not a small workshop-style production, but requires the engineering capabilities of integrating large models and proprietary models.
Gu Wei believes that the trend of AI engineering is as important as the current development of large models, both of which are promoting the "industrial mass production" of AI. This will not only solve the problem of efficient batch AI implementation, but will also avoid workshop-style individual production. He pointed out that the key difference between the two is that the former starts from the entire development process, while the latter starts from the model itself.