Behaviorism and AI: How Rewards Shape Model Behavior
TL;DR Behaviorism and operant conditioning offer a useful way to understand how consequences shape AI behavior. Reinforcement learning turns this relationship into an optimization process, while reinforcement learning from human feedback, or RLHF, uses human preferences to help shape model responses. Neither mechanism guarantees that the rewarded behavior achieves the intended outcome. For enterprise teams, […]
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