New ChatGPT Immediate Engineering Approach: Program Simulation | by Giuseppe Scalamogna




Sed ut perspiciatis unde.


Giuseppe Scalamogna

Towards Data Science

Man in a room holding a book and ethereal computation on the wallsSupply: Picture by Writer and generated with MidJourney

The world of immediate engineering is fascinating on numerous ranges and there’s no scarcity of intelligent methods to nudge brokers like ChatGPT into producing particular sorts of responses. Methods like Chain-of-Thought (CoT), Instruction-Primarily based, N-shot, Few-shot, and even methods like Flattery/Position Task are the inspiration behind libraries filled with prompts aiming to fulfill each want.

On this article, I’ll delve into a method that, so far as my analysis reveals, is probably much less explored. Whereas I’ll tentatively label it as “new,” I’ll chorus from calling it “novel.” Given the blistering charge of innovation in immediate engineering and the benefit with which new strategies will be developed, it’s solely potential that this method would possibly exist already in some kind.

The essence of the approach goals to make ChatGPT function in a manner that simulates a program. A program, as we all know, includes a sequence of directions sometimes bundled into capabilities to carry out particular duties. In some methods, this method is an amalgam of Instruction-Primarily based and Position-Primarily based prompting strategies. However not like these approaches, it seeks to make the most of a repeatable and static framework of directions, permitting the output from one operate to tell one other and the whole thing of the interplay to remain inside the boundaries of this system. This modality ought to align effectively with the prompt-completion mechanics in brokers like ChatGPT.

Supply: Picture by Writer

For instance the approach, let’s specify the parameters for a mini-app inside ChatGPT4 designed to operate as an Interactive Innovator’s Workshop. Our mini-app will incorporate the next capabilities and options:

Work on New Thought
Broaden on Thought
Summarize Thought
Retrieve Concepts
Proceed Engaged on Earlier Thought
Token/”Reminiscence” Utilization Statistics

To be clear we won’t be asking ChatGPT to code the mini-app in any particular programming language and we are going to replicate this in our program parameters.

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