Reinforcement Learning from Human Feedback
Also known as: RLHF, Human Feedback Training
A training technique that uses human evaluations of AI outputs to train a reward model, which then guides the AI system to produce outputs more aligned with human preferences.
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Related Terms
AI Alignment
The research field focused on ensuring that AI systems' goals, behaviors, and values are compatible with human intentions and societal well-being throughout their operation.
Fine-Tuning
The process of further training a pre-trained AI model on a specialized dataset to adapt its behavior, knowledge, or output style for a specific domain or task.
Large Language Model
A type of AI model trained on vast amounts of text data that can understand, generate, and manipulate human language, typically based on the transformer architecture with billions of parameters.
Machine Learning
A subset of artificial intelligence that enables systems to learn and improve from experience without being explicitly programmed, using algorithms that identify patterns in data.