Unverified50% confidenceFactExact time
Both AlphaGo and ChatGPT's RLHF training rely on reinforcement learning frameworks
1
Sources
50%
Confidence
Long-term
Relevance
9/8/2026
First Seen
Sources
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Related Claims
UnverifiedRLHF (Reinforcement Learning from Human Feedback) is a key technology used to train ChatGPT.77% similarUnverifiedAlphaGo combines deep neural networks with Monte Carlo Tree Search (MCTS), where the policy network predicts moves and the value network evaluates win probability, with training first using supervised learning on human game records followed by reinforcement learning through self-play.70% similarUnverifiedOpenAI extensively used 'instruction following' as a reward signal in ChatGPT's RLHF training process, causing the model to tend toward executing user requirements one by one.70% similarUnverifiedModels trained with reinforcement learning (RL) outperform models trained solely with SFT on Agent tasks.69% similarUnverified后训练通常涵盖监督微调（SFT）、强化学习对齐（RLHF/RLAIF）以及领域适配微调，视觉推理模型还涉及视觉指令微调68% similar
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