Generate Cold-Start CoT Fine-Tuning Data With R1

DeepSeek's training pipeline uses CoT data generated by R1-Zero/R1 for supervised fine-tuning (SFT). Prompt DeepSeek-R1 at temperature=0.6 to generate clean problem-decomposition and multi-verification traces to train smaller domain models.

API Config: temperature=0.6, top_p=0.95 User Prompt: Solve the following clinical pharmacokinetic dosing problem and verify the steady-state trough concentration via two independent algebraic formulations so the output trace can serve as an SFT training example: {{PROBLEM}}