In machine learning, reinforcement learning from human feedback (RLHF) is a technique to align an intelligent agent to human preferences. In classical...

Reinforcement learning (RL) is an interdisciplinary area of machine learning and optimal control concerned with how an intelligent agent ought to take...

learning, but there are also techniques to fine-tune a model using weak supervision. Fine-tuning can be combined with a reinforcement learning from human...

applications using a combination of supervised learning and reinforcement learning from human feedback. ChatGPT was released as a freely available research...

model is fine-tuned on these revised responses. For the reinforcement learning from AI feedback (RLAIF) phase, responses are generated and compared according...

trained on textbook-like data generated by another LLM. Reinforcement learning from human feedback (RLHF) through algorithms, such as proximal policy optimization...

paper "Deep Reinforcement Learning from Human Preferences" (2017) and other works developing reinforcement learning from human feedback (RLHF). He is...

instructions using a combination of supervised training and reinforcement learning from human feedback (RLHF) on base GPT-3 language models. Advantages this...

360-degree feedback Biofeedback Climate change feedback, for positive and negative feedbacks associated with climate change Reinforcement learning from human feedback...

technologies such as ChatGPT. Reinforcement learning from human feedback: Enabled the alignment of AI models through human feedback, creating AI assistants...