Lucas and Luna dive into RLHF — reinforcement learning from human feedback — the technique that made modern chatbots safe and useful. They break down the three-stage pipeline: supervised fine-tuning, reward model training with human comparisons, and proximal policy optimization. Using real examples, they explain why reward hacking is a real danger and how alignment is never truly finished. A must-listen for anyone building or using LLMs.

#RLHF #ReinforcementLearning #HumanFeedback #LLM #ChatGPT #Claude #ProximalPolicyOptimization #RewardHacking #AIAlignment #SupervisedFineTuning #DataScience #Technology #FexingoBusiness #BusinessPodcast #MachineLearning #DeepLearning #AI #GenAI

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