In a recent article, the author delves into the importance of politeness in generating optimal results when using generative AI apps. The author emphasizes the impact of politeness, stating that it can influence the AI to provide more detailed and elaborate responses. The author highlights a study that examines the influence of politeness on large language models (LLMs) across different languages and tasks.
The author provides examples of neutral, polite, and impolite prompts given to generative AI, showcasing the varying responses based on the tone of the prompt. The results suggest that politeness can lead to more empathetic and detailed responses, while impoliteness may trigger neutral or assertive tones in the AI’s responses.
Additionally, the author discusses the role of tone and wording in prompts on the AI’s response and highlights the need for clear and thoughtful prompt engineering to ensure robust results from generative AI. The article also touches upon the ethical considerations of using generative AI and the potential impact of AI filters on response quality.
In conclusion, the author recommends a balanced approach to prompt engineering, including the use of different techniques in combination to optimize results. The article encourages the use of politeness in prompts, as it can lead to more constructive and positive interactions with generative AI. Ultimately, the author emphasizes the importance of being mindful of how prompts are composed to achieve desired outcomes when utilizing generative AI applications.
