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Rlhf Meaning?

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RLHF Reinforcement Learning from Human Feedback — a training technique where human ratings of model outputs are used to fine-tune an AI model's behavior, central to how modern chatbots like ChatGPT are made helpful and safe.

Origin:Builds on earlier reinforcement-learning-from-feedback work such as TAMER, and was formalized and popularized in modern ML research by Christiano et al. in 2017; it became core AI-training vocabulary as it scaled through the GPT-2, GPT-3, and ChatGPT-era training pipelines.
First Seen:2017
Peak Era:2022-2023 (Post-ChatGPT Mainstream AI-Training Vocabulary)
Aura Impact:+2 Aura (correctly explaining why a model 'feels' polite) / -2 Aura (confusing it with pretraining)

EXAMPLE USAGE

"That refusal isn't a hard rule, it's just what RLHF trained the model to say."

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