Unverified50% confidenceFactExact time
TRACER employs a two-stage training process: the first stage performs supervised fine-tuning (SFT) on real user conversations, and the second stage introduces multi-turn reinforcement learning (RL).
1
Sources
50%
Confidence
Long-term
Relevance
9/25/2026
First Seen
Sources
Related Entities
Related Claims
Verified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78% similarVerifiedLarge model training goes through three core stages: pre-training, supervised fine-tuning (SFT), and preference alignment.75% similarUnverifiedPistis's training pipeline is divided into two stages: the first stage is large-scale multimodal supervised fine-tuning (SFT), and the second stage is Interleaved Distillation and Reinforcement Learning (IDRL).74% similarUnverified一个典型的对话AI模型训练需经历四个阶段:预训练、有监督微调(SFT)、奖励模型训练和近端策略优化(PPO)71% similarUnverifiedAgent Tuning is a specialized direction of supervised fine-tuning (SFT), where training samples are complete task trajectories rather than traditional question-answer pairs.71% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/949069API
curl https://kongchang.com/api/v1/knowledge/claims/949069MCP
get_claim(id=949069)