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.I’ve carefully compiled a comprehensive list of the best-in-class prompt engineering techniques and associated skills, aiming to provide you with a quick and easy-to-understand explanation. I’ve also included handy-dandy online links in case you want to learn more.
I have a helpful rule-of-thumb that I repeatedly cover in my classes on the core fundamentals of prompt engineering. Here it is. Be direct, be obvious, and generally avoid distractive wording when composing your prompts.Indeed, that’s what prompt engineering is all about. The idea is to abide by tried-and-true prompting techniques, strategies, tactics, and the like, doing so to get the most you fruitfully can out of using generative AI.
I like to emphasize at my speaking engagements that prompts and dealing with generative AI is like a box of chocolates. You never know exactly what you are going to get when you enter prompts. The generative AI is devised with a probabilistic and statistical underpinning which pretty much guarantees that the output produced will vary each time. In the parlance of the AI field, we say that generative AI is considered non-deterministic.
The loudly aired opinion is that soon there will be promulgated AI advances that can take the flimsiest of hand-composed prompts and still enable generative AI to figure out what you want to do. The pressing issue therefore is whether you are wasting your time by learning prompting techniques. It could be that you are only on a short-term ticking clock and that in a year or so the skills you homed in prompting will be no longer needed.
I hope the above has whetted your appetite for digging into my compiled list of the best of the best for prompt engineering techniques.Enough of the preparatory chitchat, some of you are perhaps thinking, let’s get to the brass tacks. Let’s see the bonanza. Show me or step away. There is another reason too for me to number the list. I had earlier suggested that you might want to step by step make sure that you are familiar with each of the prompt engineering techniques.I’d recommend that you use the numbered list shown next. Import the list into your favorite spreadsheet.
Whether you undertake that treasured challenge or not, here’s the list with numbers shown as pure reference and the list is still in the same alphabetical order as shown above:I also realize it might seem like a daunting list. I can hear the commentary that this is way too much and there is no possible way for you to spend the needed time and energy to learn them all. You have your day job to deal with. You have work-life balances that need to be balanced. Etc.
Large Language Models Llms Generative AI Chatgpt Openai Gpt-4 Prompting Prompt Engineering Techniques Chain Of Thought
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