5 posts
I explain from the field the differences between SFT, DPO and RFT and when to use each: the fine-tuning decision from demonstrations to rewards, with KVKK notes.
RAG for changing knowledge, fine-tuning for stable behavior; often both together. Why LoRA is the default, when RFT, small models, and the KVKK advantage.
Choose SFT, DPO/ORPO/KTO or RFT/GRPO by the data you have. A 2026 fine-tuning guide: method table, RAG comparison, KVKK, and a project checklist.
RFT, LoRA and QLoRA — when to fine-tune vs use RAG. The form-vs-facts rule and KVKK-compliant training data.
RFT rewards reasoning on verifiable tasks. I explain GRPO, DPO and PPO, when to combine with RAG, and the LoRA ladder from the field.