IBM publishes Granite for various purposes. For classification and structured responses, the model is selected by card and checked on the data of its process.
Classifier starts with a list of categories
Let the calls in the support training service be divided into payment, delivery and entry problems. Some of the requests do not apply to any section. To work with IBM Granite, first find in the model catalog an option designed for the desired text type and response format. After that, set the allowed labels and rule for an obscure case. Do not download the call history until it is clear which model and where the team will run.
What to Consider the Right Answer
Take an impersonal sample that has short messages, two themes in one query, and typos. Agree the expected categories with the person who is reviewing the applications. Ask the model to return a category and a brief reason. At the output, the application separately checks that the fields are read according to the scheme, and then compares the selected label with the standard. If the model has added text outside the desired structure, save this as a separate type of error.
Compare specific options
Record the model weight ID, prompt template, and runtime. When you change models, rerun the same set and note errors by category. If you need Russian responses, use Russian inputs even when the model description advertises multiple languages. Check the specific model license and hosting terms before deployment. Use the results to select a variant on requests that resemble real traffic.
Suitable tasks
- Distribute appeals to agreed categories
- Check the structured response fields before transferring to the application
Strengths
- IBM model catalog allows you to compare the assignment of options
- There are documentation and open weights of a number of models
Limitations
- Not all functions apply to each family variant
- The format and correctness of the field are checked separately
Selection and conditions
- Free access
- Yes
- Trial period
- Not confirmed
- No sign-up required
- Not confirmed
- Russian interface
- Not confirmed
- Local installation
- Yes
- API
- Not confirmed
“Not confirmed” means there is not enough information. The feature may still be available; check the developer’s terms.
- Input formats
- Text, Code
- Result
- Data, Code
Terms
The license terms and access to the weights are specified for a specific option. Managed calls and computing resources can be billed separately. Not all functions apply to each family variant.From task to first result
Practical example
- Task
- Distribute appeals to agreed categories
- What to prepare
- Three anonymous applications, a Python result schema and a test directory stub.
Task brief or prompt
Extract the application number, subject and a sign of urgency according to the instructions. Leave unknown fields empty. Pass the result on to the validation scheme.
Expected result
A typed object with missing values.
How to check the result
- Check the fields with the initial treatment.
- Replace the directory with a test dependency and check the wrong format.
An editorial teaching example of a task brief, not the result of hands-on testing of the service. Check that the required mode is available, that you have rights to the source material and that the intended use of the result is permitted.
Check details
Official sources
This description is based on the developer’s material. Features, prices and availability may change; check the primary source before use.
