In Vertex AI, Reinforcement Learning with Human Feedback (RLHF) empowers organizations to create models that benefit from both automated incentives and human insights. This approach improves the training process by enabling human assessors to steer the model towards improved choices. RLHF proves particularly advantageous for challenges where conventional supervised learning might not suffice, integrating the advantages of human intuition with the speed of machine learning. New clients can take advantage of $300 in complimentary credits to experiment with RLHF methodologies and implement them in their machine learning initiatives. By utilizing this strategy, companies can build models that respond more adeptly to intricate environments and user input.