Human-in-the-loop capabilities play an important role in creating and improving generative AI applications powered by FMs. A highly skilled human workforce that is trained on the tasks’ guidelines can provide feedback, guidance, inputs, and assessment in activities like generating demonstration data to train FMs, correcting and improving sample responses, fine-tuning a model based on company and industry data, acting as a safeguard against toxicity and bias and more. Human-in-the-loop capabilities, therefore, can improve model accuracy and performance.