Verified90% confidenceFactTime unknown
The three-stage alignment training paradigm of SFT–reward model–RLHF was first systematically proposed by OpenAI in the InstructGPT paper.
19
Sources
90%
Confidence
Long-term
Relevance
6/1/2026
First Seen
Sources
Cube Studio深度解析：腾讯开源一站式MLOps平台实战指南
githubtencentmusic
Related Entities
Related Claims
UnverifiedThe reward model training paradigm used by OpenAI when training InstructGPT is essentially an instantiation of the Bradley–Terry framework.79% similarVerifiedLarge model training goes through three core stages: pre-training, supervised fine-tuning (SFT), and preference alignment.75% similarVerified从预训练检查点到可商用产品需经历监督式指令微调（SFT）和基于人类反馈的强化学习（RLHF）两个后训练阶段75% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/34572API
curl https://kongchang.com/api/v1/knowledge/claims/34572MCP
get_claim(id=34572)