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 the use of a significant prompting strategy that tells generative AI to re-read your stated question or problem that needs to be solved.
‘Terrifying’ Crypto Crash Triggers ‘Extreme Fear’ Panic After $2 Trillion Bitcoin, Ethereum, XRP, And Solana Price Wipe OutImagine though that the question is a hard one. You might be tempted to read the question a second time. This re-reading of the question might aid you in better understanding the nature of the question. This in turn might aid you in coming up with a better answer than if you had tried to answer based on your first or initial reading of the question.
You could simply tell the AI in your prompt to go ahead and re-read the prompt. That’s all you need to do. Easy-peasy. Just give an explicit instruction and then leave the driving to the generative AI. I urge that anyone seeking to be a prompt engineer or who considers themselves to be a prompt engineer ought to have the re-read instruction in their back pocket and include the re-read in their prompt engineering skillset.You might know that one of the most common prompting techniques entails getting generative AI to proceed on a step-by-step basis and explaining what the AI is doing during the processing of your prompt. This is known as invoking a chain-of-thought .
“To enhance the reasoning capabilities of off-the-shelf Large Language Models , we introduce a simple, yet general and effective prompting method, RE2, i.e., Re-Reading the question as input.” When such a study is undertaken, the types of questions usually have to be relatively closed-ended such that there is an apparent right-or-wrong answer. I say this because some uses of generative AI are that way, namely, you ask questions that ought to have a definitive right answer, while other times you are asking mushier or open-ended questions that do not have a purely right or wrong answer per se.
Consider this. You feed in a bunch of closed-end questions and grade how many were answered correctly versus incorrectly. You then feed in similar questions and include the new prompting instruction that you want to test out. After doing so, you tally how many of those questions were answered correctly versus incorrectly. Voila, you can compare how things went without the new instruction and how things went with it included.
Another twist is that I tried the “Read the question again” and then I repeated the question, but I purposely changed the question. Why? I wanted to see if the AI would detect that I hadn’t faithfully repeated the question. Indeed, I got caught. I urge you to faithfully show the same exact question and not play games with the AI.
“It’s noteworthy that, in general, question re-reading consistently improves reasoning performance compared to the standard CoT prompting without question re-reading .”Give that a bit of contemplation. The interesting angle is that though at this moment we are examining the re-read instruction, you can turn your head in the other direction and think about the chain-of-thought instruction. You are to start thinking of the CoT as being augmented with the re-read.
I will next proceed to examine further the nature of re-reading as a specialized prompting technique. As an aside, whenever you are starting a conversation with generative AI, I recommend as a prompt engineering technique to begin by asking a question that will establish if the AI has been data-trained on the topic at hand. A generated response that is vacuous will give you a heads-up that you might be barking up the wrong tree with that generative AI app.
I’ll shift gears and have ChatGPT come up with an open-ended question that then tells the AI to do a re-read.: “Show me an example of an open-ended question that would be better answered via using a re-read prompt. Go ahead and then process the question, explaining how the re-reading activity has helped produce a better answer.”“Let's take a complex question that involves multiple layers of information and requires a comprehensive response.
Large Language Models Llms Generative AI Prompt Engineering Prompt Strategies Techniques Tactics Chatgpt Openai Re-Read Chain-Of-Thought Cot Repeat
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