Fine-tuning
Prepare receptionist data for training and quality improvements.
Training Pipeline Status
| Name | Base Model | Status | Progress | Created | ETA |
|---|---|---|---|---|---|
| Transcript Capture | Conversation Logs | Ready | 100% | 20.02.2026 at 12:56 | Ready |
| Summary Extraction | Call Summaries | Ready | 100% | 20.02.2026 at 12:56 | Ready |
| Recording Sync | Audio Library | Ready | 100% | 20.02.2026 at 12:56 | Ready |
Training Readiness Guide
1. Capture Consistent Data
Keep transcripts, summaries, and recordings consistent so training stays reliable.
2. Validate Booking Details
Focus on confirming dates, guest counts, and contact info before finalizing calls.
3. Review Quality Signals
Monitor coverage rates to know when the dataset is ready for fine-tuning.
Suggested Next Steps
Your data coverage looks healthy. You can start a fine-tuning run when ready.