Step 1
Define your strict domain (e.g., Medical Triage)
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.
Define your strict domain (e.g., Medical Triage)
Generate the 'Teacher Model' reasoning prompt
Extract the chain-of-thought steps into a JSON schema
Create high-quality synthetic data to train small, cheap models.
For AI developers moving from expensive APIs to local fine-tuned models.
Lower inference costs significantly
Build defensible, proprietary small models