Prompt Engineering, or could it be Blind Prompting?

Mitchell Hatt's article delves into the essential differences between prompt engineering and what's referred to as blind prompting. He explains that prompt engineering is the process of transforming tasks into formats that are understandable by AI models. This approach involves carefully chosen words and the structure of tasks that are designed to elicit the best responses from AI models like ChatGPT. Hatt emphasizes the importance of precisely crafting prompts to achieve optimal results when interacting with artificial intelligence. He provides several examples that illustrate how different queries can lead to markedly different outcomes. Furthermore, the author points out the pitfalls associated with blind prompting, where users simply throw commands at the model without a solid understanding of its workings or limitations. The conclusion of the article summarizes the arguments made and encourages readers to rethink their methods of working with AI. In the context of continuous technological advancements, the ability to use AI effectively is becoming increasingly crucial for professionals across various fields.