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.
No April Fools’ Prank That Generative AI Is Being Used To Craft Zany New Conspiracy Theories Aiming To Overwhelm Our SensibilitiesIn 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 here is on a brand-new prompting approach that enables you to cleverly compress essays and other text-based narratives.
Okay, now that we’ve got that foundation established, there are already various recommended ways to word a prompt to do summarizations and compressions. A recent research study explored the topic and proffered a prompt for compression that they extensively tested and found to be quite useful. I will walk you through their research efforts and results.
You need to compose your prompts in relatively straightforward language and be abundantly clear about what you are asking or what you are telling the generative AI to do. We can give a name to the substance by saying that we are trying to identify important “entities” within the original content. Those entities might be facts or figures. The entities are said to be anything especially instrumental to the overall meaning of the original content. A hope is to carry over as many of the demonstrative entities as feasible into the summary.
During the summarization process, you are looking at two possibilities of the content being carried over into the summary. First, you aim to be extractive, primarily extracting key aspects and shoveling those into the summary. Second, you might at times be abstractive, whereby you go beyond the words themselves of the original content and begin to reinterpret or perhaps elaborate beyond what the summary per se has to say.
I will be showing you in the next section some examples of using prompts related to asking generative AI to do compression. You will immediately see that the word “compression” is relatively ambiguous to most generative AI apps. They might interpret the word to imply purely extractive, but more likely they will assume this means to be abstractive. You will need to nail down in detail what you want the AI to do. I will show you this.
A task-specific prompt is worded to fit a particular task at hand, such as if you were doing a compression of medical notes and you wanted the prompt to emphasize particular characteristics associated with medical lingo. The prompt is devised for that domain. If you bring in a massive amount of text, you are fighting against the potential limits of generative AI. Those limits can severely degrade the results of the AI trying to cope with the text overload. You also have to consider potential costs. If you are paying for the use of generative AI, the longer-sized text is bound to be a costlier charge than if you could thin it down.
Original Text: “Item 15, report from City Manager Recommendation to adopt three resolutions. First, to join the Victory Pace program. Second, to join the California first program. And number three, consenting to the inclusion of certain properties within the jurisdiction in the California Hero program. It was emotion, motion, a second and public comment. CNN. Please cast your vote. Oh. Was your public comment? Yeah. Please come forward. I thank you, Mr. Mayor. Thank you. Members of the council.
Besides deciding whether a compression has done a good job, you might also be wondering whether there is even more compression that can be performed. First, the prompt tells the generative AI to invoke a persona. For my extensive coverage of personas in generative AI, see Third, the phrasing for AI that you use in a prompt ought to at times be emphatic. If you aren’t emphatic, the instructions might be ignored or downplayed. For example, telling the generative AI to aggressively do the compression is a means of guiding the AI toward doing a strident job. I should note that your being emphatic has a downside.
As a heads-up, I decided to use Abraham Lincoln’s famous Gettysburg Address as the text that I wanted to have compressed. There are variations of his speech that can be readily found online. I opted to use a version that contains 271 words. Our aim in this mini-experiment will be to do a compression and see if we can reduce the size, along with retaining intelligibility and vital points.
I dare say that’s not a compression ratio to be overly elated about. Look, I’m glad that we got the 20%, and I don’t like to look a gift horse in the mouth. It would seem intuitively we might be able to do better. "Four score and seven years ago, our fathers founded a new nation on this continent, dedicated to liberty and the belief that all men are created equal. We are now in the midst of a great civil war, testing whether this nation, or any nation so conceived, can endure. We meet on a battle-field of that war, dedicating a part of it as a final resting place for those who gave their lives for this nation's survival. It's fitting and proper we do this.
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