A Complete Guide to OpenAI's Fine-Tuning Methods
blaizedsouza · x · 2026-07-17
This post summarizes a comprehensive guide on **OpenAI fine-tuning**, focusing on how to choose training methods for different tasks: - Start with prompt - Use **SFT** for style consistency - Use **DPO** for preference alignment - Use **RFT** for verifiable rewards The author emphasizes that combining "Prompting + SFT + DPO + RFT + OpenAI fine-tuning API" allows teams to build solutions that are cheaper and faster than relying solely on prompting. This combination is seen as the reason fine-tuning teams win on cost and efficiency.
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