Prompt Engineering in Generative AI: Strategies, Security, and Use Cases

The episode provides an in-depth overview of prompt engineering applied to generative Artificial Intelligence, examining strategies and techniques such as chain-of-thought and few-shot learning, as well as its practical applications across various domains. It explores both the potential and the associated risks, with a particular focus on cybersecurity, referencing the "OWASP Top 10 for LLM Applications 2025" document. The discussion also highlights the importance of evaluating model reliability, introducing metrics like G-NLL, and the extension of prompt engineering beyond text into multimodal domains, including images, audio, and video. Finally, a practical case study on suicidal risk detection is presented.