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Model Distill Prompter

Generate multi-step prompts to compress the knowledge of a huge LLM (like GPT-4) to create training datasets for a smaller open-source model.

Step 1

Define your strict domain (e.g., Medical Triage)

Step 2

Generate the 'Teacher Model' reasoning prompt

Step 3

Extract the chain-of-thought steps into a JSON schema

How to Use Model Distill Prompter

Create high-quality synthetic data to train small, cheap models.

  1. 1Define your strict domain (e.g., Medical Triage)
  2. 2Generate the 'Teacher Model' reasoning prompt
  3. 3Extract the chain-of-thought steps into a JSON schema
  4. 4Use the output to fine-tune a Llama 3 8B model

Who Is Model Distill Prompter For?

For AI developers moving from expensive APIs to local fine-tuned models.

AI Engineers

Lower inference costs significantly

Startups

Build defensible, proprietary small models

Frequently Asked Questions

Is this legal?
Model distillation policies vary by API provider. Always check the Terms of Service for models like GPT-4 or Claude before using their outputs for training.

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