Blame for src/model/README.md

#Milo WBA Model (Phi-3 Fine-Tuned)

Version: v1.0  
Purpose: WhatsApp Business Assistant  
Base Model: Microsoft Phi-3 Medium 4K  

#Features
- Customer service responses (short, polite, WhatsApp tone)
- Delivery information and updates
- Complaint handling with empathy
- Business templates (messages, confirmations)
- Quotes & invoices (PDF-style text outputs)
- Product descriptions (concise and clear)

#Training Details
- Fine-tuning method:LoRA (Low-Rank Adaptation)
- Datasets used: 
  - Customer service Q&A dataset  
  - Delivery updates dataset  
  - Quotes & invoices dataset  
- Split: 90% training / 10% validation  
- Steps: 2000 training steps with warmup  
- Batch size: 2 (gradient accumulation = 8)  
- Learning rate: 2e-4  

#Intended Use
Milo AI is designed to:
- Handle WhatsApp business conversations quickly and politely
- Generate structured responses (quotes, invoices, delivery updates)
- Support small businesses with customer engagement

#Limitations
- Not suitable for medical, legal, or financial advice
- Focused on short WhatsApp-style messages, not long-form documents
- May need retraining for niche industries or highly technical queries

#Future Improvements
- Add multilingual support (e.g., isiZulu, Afrikaans, Xhosa)
- Expand datasets for more industries (retail, health, education)
- Integrate richer templates (contracts, receipts, promotions)