What this category's data looks like
This page addresses multilingual materials and terminology handling in primary and secondary school teacher training credit management. Sources include three types of materials: training notices, credit recognition forms, and participant lists, with an update cadence that rolls and adjusts with training batches. Training notices often contain multilingual body text and attachments; credit recognition forms require item-by-item registration of class hours, course names, and recognition conclusions; participant lists record basic personnel information and sign-in receipts. When these three types of materials enter the model access and configuration stage, notices and lists first serve as input materials for dialogue and retrieval, while credit recognition forms are used to check terminology translations and field consistency. Field characteristics center on course names, class hour quantities, recognition dates, signature columns, and receipt status. Multilingual materials also require that the same term maintain the same written form throughout the entire text, and that translations can refer back to the source text. After the materials are configured through the server-side model channel, terminology comparison and unified terminology glossary output are completed by dialogue and retrieval, and finally delivered for external release. Checking whether three sampled terms are written consistently throughout the entire text is a key action for business-side acceptance.
Configuration and implementation checks
This step is executed by the server-side model channel configuration, outputting model binding relationships and channel responses. The unified terminology glossary and comparison draft are then completed by subsequent AI nodes, code nodes, or manual work. Models are divided into five categories: language, indexing, reranking, speech synthesis, and speech recognition. Different stages bind different model types, and during configuration it is necessary to check the type labels and the model names returned by the channel.
| Object | Check | Verification action |
|---|---|---|
| Training notice | The course names, class hour quantities, and recognition dates in the multilingual body text and attachments must correspond item by item with the credit recognition form, and the signature column and receipt status must not be missing. | Compare the course names, class hour quantities, and recognition dates in the notice and the recognition form, check whether signatures and receipts are complete, and check whether terminology translations are consistent throughout the entire text. |
| Credit recognition form | The names, quantities, and dates of the same record in the notice and the list must be consistent; when versions are not synchronized, the latest batch shall prevail. | Compare the names, quantities, and dates in the recognition form and the participant list one by one, confirm that the version number and batch are consistent, and if signatures or receipts are missing, return for correction. |
| Participant list | Personnel names, sign-in receipts, and records in the recognition form must be able to refer back to each other, and the correspondence between translations and the source text must not be broken. | Extract three terms, check whether their written forms are consistent throughout the entire text, and check whether the names, dates, and quantities in the list and the recognition form match. |
| Model configuration | The model type corresponds to the stage in which it is to be used, the channel and key are consistent with the accessed service, and the model identifier is consistent with the name listed in the documentation. | In the model configuration, check the type labels, check the channel configuration and key source, compare the model name returned by the channel, and check the values and referenced text tokens of maxContext, maxTokens, quoteMaxToken, and toolChoice. |
Three common errors
- Symptom: The same course name is written differently in the training notice and the credit recognition form, and the quantities and dates also do not match. Cause: The two materials' versions are not synchronized, the terminology glossary is not unified, and translations cannot refer back to the source text.
- Symptom: The sign-in receipts in the participant list and the recognition form are missing, and the signature column is blank. Cause: Receipts were not fully collected during the material circulation stage, and item-by-item verification and correction were not performed before release.
- Symptom: Retrieval reports an indexing model-related error, and after switching models the answer style changes abruptly. Cause: The model type and stage binding are misaligned, the channel key is inconsistent with the accessed service, and authentication fails.
How to verify the setup
Feature acceptance: Run one dialogue and one retrieval, check the model identifier in the response, confirm it is consistent with the name listed in the documentation, and check the values of maxContext, maxTokens, quoteMaxToken, and toolChoice as well as the tokens of the referenced text.
Business test: Extract three terms and check whether their written forms are consistent throughout the entire text, check whether the translations can refer back to the source text, and compare the names, quantities, dates, and signature receipts in the training notice, credit recognition form, and participant list.
- In the model configuration, check that the model type labels correspond to the stage in which they are to be used, check the channel configuration and key source, and compare the model name returned by the channel to confirm the model identifier is consistent.
- Extract three terms, check whether their written forms are consistent throughout the entire text, compare the names, quantities, dates, and signature receipts in the training notice, credit recognition form, and participant list, and return missing items for correction.