Industry models must first correspond to specific tasks
The Huawei Cloud Pangu industry model page lists the directions of Thinking models such as medicine, finance, government affairs, industry, and automobiles, emphasizing adaptation to professional scenarios. This article focuses on industry data services and implementation division of labor. It does not interpret these directions to mean that any team can directly carry out corresponding professional services, nor does it presume that all models are open to all accounts.
The model and application platform should be checked separately.
The Pangu Bot preparation document clearly states that the service itself does not provide generation capabilities, and related large model services need to be purchased or deployed first. It helps readers distinguish between two layers of work: the model is responsible for generating capabilities, and the application also needs to organize data, connect processes, and configure permissions. Opening an application portal cannot replace complete model access preparation.
Where can a team with industry experience start (ChinaOPC analysis)
Taking equipment data Q&A as an example, what the customer really needs may be to find the correct version of the instruction manual, locate a maintenance requirement, and identify which issues must be referred to an engineer. The entrepreneurial team's work can start with a data catalog, a glossary, and a list of questions, and then evaluate the model based on the data shape and usage restrictions.
Different instructions may apply to the same piece of equipment under different batches, models and operating conditions. Collating these differences into searchable meta-information is often more conducive to accurate answers than uploading all the files directly. Unfounded questions should be able to return insufficient information rather than generate a complete-sounding how-to.
Acceptance requires checking answers and permissions at the same time
Samples should include correct answers, expired material, no answers, and questions beyond access rights. The system must not only find relevant fragments, but also indicate which file and version the fragment comes from, and prevent users who do not have access to the material from seeing the corresponding content. Permission judgment should be controlled by the system and cannot just be written in the prompt word.
The division of labor is more specific than the model brand
Before implementation, it can be clarified who will provide domain knowledge, who will manage document versions, who will maintain the system, and who will be responsible for handling errors when they occur. A small team can take on a link that they are capable of completing and confirm the results with the customer's internal personnel; they do not have to wrap up every platform and model work as a commitment to complete independently.
The pilot can first select a department, a set of materials and a set of high-frequency problems, and record the completion time, failure type and maintenance workload. Whether to expand the application should be determined by the pilot results and business conditions. It cannot be judged that the project has met the delivery conditions just by the name of the industry model.
Related model reading
Understand the starting point of FDE's business tasks; Compare Granite's enterprise model division of labor. For more information, see AI Model Column.