Human Alignment: Helpful, Honest, and HarmlessReinforcement Learning OverviewTrain a Custom Reward ModelCollect Training Dataset with Human-in-the-LoopSample Instructions for Human LabelersUsing Amazon SageMaker Ground Truth for Human AnnotationsPrepare Ranking Data to Train a Reward ModelTrain the Reward ModelExisting Reward Model: Toxicity Detector by MetaFine-Tune with Reinforcement Learning from Human FeedbackUsing the Reward Model with RLHFProximal Policy Optimization RL AlgorithmPerform RLHF Fine-Tuning with PPOMitigate Reward HackingUsing Parameter-Efficient Fine-Tuning with RLHFEvaluate RLHF Fine-Tuned ModelQualitative EvaluationQuantitative EvaluationLoad Evaluation ModelDefine Evaluation-Metric Aggregation FunctionCompare Evaluation Metrics Before and AfterSummary
