Local AI for employee training: scenarios and criteria
It is useful for a new employee to train to make an application before working with a real order. A local AI application can give out learning situations and notice missed fields. In order for such a simulator to help, you need testable criteria and a technical guide of the mentor, not just an assessment invented by the model.
Choose one of the usual work procedures
For the first set, a request to the supplier is suitable: determine the model, quantity, desired composition, city of receipt and company information. Learning situations should have an agreed response and a list of mandatory elements. Use fictional details and pre-prepared documents that are allowed to be shown to all participants in the course.
The task must verify the action. For example, the source letter does not have an exact part index: the employee should request clarification, not guess it. The mentor determines in advance which formulation options are permissible and which action will be erroneous. This allows you to explain the comment to a specific item of the task.
Feedback should refer to the criterion
Instead of one point, show a list of verified items: the number is indicated, the composition is not determined, the receipt address is absent. If the model offers improved text, the student should see what information is taken from the task and what is required to receive separately. Added serial number is not considered a successful addition.
The questionable answer is passed to the mentor along with the original task and the revision of the criteria. Criterion correction acts as an update of the learning material and preserves the history. The repeated technical guide of the previous task should take into account which version of the rules the student performed it.
Separate exercise from control tasks
Keep a separate set of situations that were not used when setting up examples and hints. Hugging Face Datasets provides tools for separating data sets; separation itself does not guarantee the independence of semantic duplicates. In a training project, similar variants of one task should be checked and grouped manually.
In the control set, include the correct short answer, a long answer without a key field, confident inventing data and a correct clarification request. After changing the model, compare the comments by the same criteria. Beautiful feedback style does not compensate for a missed error in the application.
What is required from the application and server
Before calculating the equipment, specify the number of students, the duration of classes, the size of materials, the expected queue and the need for verification by the mentor. The works include the task editor, the criteria version, the teacher’s rights and the results journal. The order of storage of training answers is also agreed before launch.
Such a project can run on a server platform with a locally deployed model after checking the selected configuration. The name “Superintellect” does not define the composition of the application. The quotation separately fixes equipment, programs, training materials of the customer, connection and control acceptance.
Questions before ordering
Can the simulator independently confirm the qualification of the employee?
The criteria for the course and the decision on admission are determined by the company. In the described pilot, the application prepares training feedback, and the controversial results are disassembled by the mentor.
Do I have to retrain the model on all training materials?
The method of adjustment is chosen after the pilot. To begin with, you can prepare agreed tasks, criteria and response examples, then check the selected application. The need to change the weights of the model is assessed separately.
Primary source: Hugging Face Datasets: Separating Datasets. The program documentation does not confirm its testing on the proposed server.
Server and project composition
Basic quotation: Superintellect for Business – AI Server Manager 256. To order you need accurate CPU, RAM, GPU, drives, versions of programs and included work. The number in the designation does not confirm the amount of memory.
Other quotations: AI Server Manager 128 · AI Server Manager 384.
Price, availability and configuration are confirmed by quotation. Delivery in Russia and Kazakhstan. The cost and delivery time are agreed on by the city and the composition of the order. Clarify the packaging, documents and acceptance procedure.