👉 Suggestion engineering is a methodology used in artificial intelligence and machine learning to design, generate, and optimize sequences of actions or suggestions for a user interface, typically in conversational AI systems like chatbots and virtual assistants. It involves creating a structured approach to produce relevant and contextually appropriate responses or actions based on user inputs. This process leverages techniques from natural language processing, reinforcement learning, and decision theory to craft suggestions that not only align with the user's intent but also enhance the overall interaction experience. By systematically exploring and refining possible suggestions, engineers can improve the system's ability to engage users effectively and efficiently, ultimately leading to better user satisfaction and more productive interactions.
