Prompt Engineering Says Watch Out When Using Hard Prompts Like These In Generative AI

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Dr. Lance B. Eliot is a world-renowned expert on Artificial Intelligence (AI) with over 7.4+ million amassed views of his AI columns. As a CIO/CTO seasoned executive and high-tech entrepreneur, he combines practical industry experience with deep academic research.

In today’s column, I am continuing my ongoing coverage of prompt engineering strategies and tactics that aid in getting the most out of using generative AI apps such as ChatGPT, GPT-4, Bard, Gemini, Claude, etc. The focus this time will be on composing prompts that deal with hard problems, known commonly as so-called “hard prompts”.The AI might not be able to solve the problem at all, but it will at least try to do so.

First, the odds are that a hard prompt is going to test the limits of modern-day generative AI. The nature of the question or problem is perhaps at the far edge of what generative AI can accomplish. In that sense, you might end up getting a vacuous answer that either dodges the question or provides a useless feeble response.

All told anyone interested in prompt engineering ought to be cognizant of whether they are composing a prompt that is construed as an easy prompt or a hard prompt.. You will need to be especially watchful of the generated response because the AI can go astray when you are using hard prompts.Grading Generative AI On How It Handles Hard PromptsIt has to do with assessing generative AI.

One style of prompt that I’d bet came to your mind would be to use hard prompts. A hard prompt would be a handy dandy means of stretching the generative AI apps and might reveal which can best handle the most grueling and toughest of prompts.

“We believe this new category will offer insights into the models' performance on more difficult tasks.” “Chatbot Arena Leaderboard: We've collected 1,000,000+ human votes to compute an Elo leaderboard for 90+ LLMs. Find out who is the LLM Champion!” “Because of its unique value and openness, Chatbot Arena has emerged as one of the most referenced LLM leaderboards, widely cited by leading LLM developers and companies.”

This will consist of a series of dialogues with ChatGPT. ChatGPT is a logical choice in this case due to its immense popularity as a generative AI app. An estimated one hundred million weekly active users are said to be utilizing ChatGPT. That’s a lot of people and a lot of generative AI usage underway.If you are going to try to do the same prompts that I show here, realize that the probabilistic and statistical properties will likely produce slightly different results than what I show here.

Via the above response, you can plainly see that a wide range of possibilities exist that could underlie a hard prompt. We might conventionally assume that a hard prompt only entails a prompt that asks to solve a complex math equation or otherwise requires highly technical details, but other kinds of prompts that involve human values, creativity, and such qualitative factors can also land in the hard prompts arena.

 

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