A Chatbot That Knows Your Store Inside Out
Generic GPT-4 chatbots hallucinate your return policy. A fine-tuned model learns it exactly — and costs 80% less per conversation.
80%
Cost reduction vs GPT-4
95%
Hallucination reduction
70%
Avg prompt length saved
The Problem
E-commerce chatbots built on GPT-4 need long system prompts with your full catalog and policies. Long prompts = high token costs × millions of conversations per month.
The Solution
Fine-tune on your product Q&A, order FAQs, and past chat logs. The model memorises your catalog, speaks in your brand voice, and never hallucinates a policy detail.
How It Works
Upload your examples (50–500 pairs in CSV or JSON)
Distillfast generates 50,000 synthetic training pairs via Claude
Llama 3.1 or Mistral 7B fine-tunes on your data — takes ~45 min
You get a private inference API endpoint
Plug it into your product — same OpenAI-compatible format
Frequently Asked Questions
Can it handle order tracking questions?
Yes. Connect it to your order management API via function calling and it fetches live order status in the response.
Does it support Hindi and regional languages?
Llama 3 supports Hindi, Tamil, Telugu, and other Indic languages. Include multilingual examples in your training data.
What if my catalog changes?
Retrain monthly with new data — Distillfast's auto-retrain feature does this automatically on a schedule.
Ready to cut your AI costs?
Free plan includes 2 models. No credit card required.
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