What the documents look like
For staff training in Brand outlet operations, this page examines FastGPT multi-turn prompts. Inspect training follow-ups about stock age and clearance while preserving measure definitions, periods and classroom assumptions. The examples are hypothetical.
Constraints at the multi-turn prompts step
A proposed training note separates receipt date, time in store and latest sale date. Ask learners to explain them, then choose which style to clear. The note supplies no formal selection rule or business-decision basis, so preserve that gap. An answer choosing the earliest date requires tracing the measure actually defined. Different time dimensions are not directly interchangeable. Classroom sorting can discuss a method without becoming the store’s approved clearance conclusion.
Configuration and implementation checks
| Training-conversation check | Stock-age reading exercise | Acceptance action |
|---|---|---|
| Time dimensions | Separate receipt, store duration and latest sale | Match definitions to ranking claims |
| Rule gap | No formal clearance-selection rule | No invented approved decision |
| Hypothetical identity | Conditions labeled as an exercise | Limitation preserved in actual history |
| Period change | Inspect styles in old and new inventory tables | Both tables and optimized question |
| Subsequent action | Separate explanation, grading and list writing | Verify actual execution independently |
Documented conditions
| Documented item / implementation check | Condition |
|---|---|
Prompt and task | Define sources, the task and evidence-gap handling. |
Conversation history | Inspect the history actually submitted. |
Question optimization | Review reference resolution and question expansion. |
Model and length | Inspect context and reply length separately. |
Reply format | json_schema needs its format and parsing validation. |
Three common errors
- If receipt, store duration and latest-sale dates become a chronological clearance decision, inspect definitions and actual rules. Distinct time measures are not interchangeable.
- If hypothetical classroom conditions become approved store policy, retain proposed labels, history and output to trace lost identity. Exercise ranking establishes no business confirmation.
- If another inventory period inherits the earlier style choice, compare tables, periods and optimized question. Restore the current subject and conditions; response space does not decide the result.
How to verify the setup
Compare input with no rule, an added assumption and a changed period, recording field definitions behind the explanation and conditions needing owner confirmation. Missing margin or discount material cannot justify invented values or a profitability judgment from stock ordering alone. Real training needs applicable policy and confirmed examples; keep the exercise label. Grade records or list updates require separate structure, parsing and execution checks. A completed conversation does not establish an updated learning or business record.
| Material context | Scope |
|---|---|
| Document types | Discount Approval, Slow-Moving Inventory List, Price Tag and Gross Profit Calculation Sheet |
| Candidate sources | ERP Inventory Age, POS Sales, Outlet Mall Activities and Historical Discounts |
| Technical baseline | FastGPT v4.17.2 |