Navigating AI Prompt Challenges and Research Integrity

This chapter examines the intricacies of AI prompt engineering and the role of datasets in machine learning, particularly the risks of overfitting in model selection. It emphasizes the necessity of upholding research integrity to avoid flawed methodologies that can negatively impact real-world applications.