app/training/__init__.py

"""
Clinician Feedback LoRA Fine-Tuning Pipeline (Phase 3)

Collects clinician corrections to AI-generated SOAP notes, formats them
into training pairs, and fine-tunes MedGemma using LoRA (Low-Rank
Adaptation) for domain-specific improvement.

Pipeline stages:
1. **Feedback Collection**: Store clinician edits as (original, corrected) pairs
2. **Dataset Preparation**: Format pairs into instruction-tuning format
3. **LoRA Training**: Fine-tune with PEFT/LoRA (rank 16, alpha 32)
4. **Evaluation**: Compare base vs fine-tuned on held-out correction set
5. **Deployment**: Merge or swap adapter weights
"""