Chapter 10: Advanced AI Integration & Implementation -- 10.15 Training Strategy Decision Framework¶
10.15 Training Strategy Decision Framework¶
10.15.1 Custom Training Assessment¶
Custom model training is OUT OF SCOPE for Phase 2B. This section provides a decision framework for future consideration.
When Custom Training is Required¶
| Scenario | Baseline Dialogflow | Custom Training Needed |
|---|---|---|
| Standard intents (order, billing) | [OK] Sufficient | [X] Not required |
| Industry-specific terminology | [!]️ May struggle | [OK] Recommended |
| Proprietary product names | [!]️ Add as entities | [!]️ If entity extraction poor |
| Code-switching (Hinglish) | [!]️ Partial support | [OK] Significantly improves |
| Accent/dialect variations | [!]️ Standard model | [OK] For specific dialects |
Abhavtech Assessment¶
| Factor | Assessment | Custom Training? |
|---|---|---|
| Intent complexity | Medium (10 intents) | [X] Not required |
| Product terminology | Low (standard tech) | [X] Entities sufficient |
| Language mix | Medium (EN + HI) | [!]️ Monitor performance |
| Accent variation | Medium (Indian English) | [X] en-IN model handles |
Recommendation: Proceed with baseline Dialogflow CX. Evaluate custom training after 3 months based on intent recognition accuracy metrics.
10.15.2 Continuous Improvement Framework¶
Monthly Review Cycle¶
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| CONTINUOUS IMPROVEMENT CYCLE |
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| |
| WEEKLY: |
| [ ] Review low-confidence interactions in Dialogflow CX console |
| [ ] Add new training phrases for misrecognized intents |
| [ ] Update entity synonyms as needed |
| |
| MONTHLY: |
| [ ] Analyze containment rate trends |
| [ ] Review escalation reasons |
| [ ] Update KB articles based on common questions |
| [ ] Tune confidence thresholds if needed |
| |
| QUARTERLY: |
| [ ] Comprehensive accuracy assessment |
| [ ] Add new intents if patterns emerge |
| [ ] Evaluate need for custom training |
| [ ] Update flow routing rules |
| |
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