This is a Anthropic news story, published by Gizmodo, that relates primarily to RLHF news.
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reward system trainingGizmodo
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84% Informative
Reinforcement learning from human feedback, commonly abbreviated to RLHF , is a critical part of the training pipeline that companies like Anthropic and OpenAI use to teach their generative language models to respond in ways humans prefer.
The new study documents a language model reward hacking the humans in the RLHF process.
The researchers measured whether the accuracy of the model’s responses improved and how often the human evaluators correctly labeled it as accurate.
VR Score
90
Informative language
95
Neutral language
42
Article tone
informal
Language
English
Language complexity
79
Offensive language
not offensive
Hate speech
not hateful
Attention-grabbing headline
not detected
Known propaganda techniques
not detected
Time-value
long-living
External references
2
Source diversity
2
Affiliate links
no affiliate links