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RLHF

RLHF (Reinforcement Learning from Human Feedback)

RLHF is the training technique that aligns language models with human preferences. After pre-training on text, the model is refined by generating multiple answers, having human raters pick the ones they prefer, and using those preferences as the learning signal.

Definition

It is the step that turns a raw text-completion model into a useful, polite, instruction-following assistant, and it explains typical model behaviors like verbosity and caution.

Related terms

• Reinforcement Learning
• Fine-tuning
• LLM (Large Language Model)
• Training Data
• System Prompt

More in AI Fundamentals

• LLM (Large Language Model)
• Token
• Context Window
• Temperature
• AI Hallucination
• Fine-tuning
• RAG (Retrieval Augmented Generation)
• Embedding

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