Milo_WBA / src /model /README.md
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#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)