What Are AI SuperPrompts And Why They Are Important.
“Ask simple questions, get simple answers”
In theory, a perfect Artificial Intelligence platform should be able to accommodate any question posed just about any way and produce a great response. In many cases, this is what we see with new versions of Large Language Model (LLM) AI like ChatGPT. However, what is soon discovered is that simple questions produce simple answers, and maybe that is enough, sometimes. Soon the novelty of this type of AI wears off, and you are left with something less exciting.
Yet no matter how advanced ChatGPT and similar models become, the well conceived prompt will become the fundamental tool of the future. I have deemed this general category SuperPrompts™ (with the annoying ™ so very large companies with billions of dollars have a notice). A SuperPrompt is more than a simple question generating simple answers. It is designed to elicit new emergent capabilities. With SuperPrompts we can explore the hidden layers of the AI model. We can help the LLM AI present what it knows but did not know that it knew.
The goal of the Prompt Engineer is to elicit from the LLM both constrained and unconstrained outputs. The base tools are words. Our words can open up a boundless universe or a laser focus of a single atom. The SuperPrompt is the most powerful tool we have to bring this about.
The rise of ChatGPT has brought about a new understanding of the future. This future will impact every life. This aspect alone rises up fear of dystopian visions. The view is not at all new and spans back to our earliest technologies. In 1964 Arthur C. Clarke made a more topical point about our current situation.
Although his predictions are nearly always accurate, they don’t always play out precisely how they are predicted. I will write about this aspect as it relates to AI in future articles, however one thing is certain: humans will be a vital part of the synergistic “new brain” that we form with AI. Humans will always be the element of iteration as AI is prompted. This is not the grip of a human that fears a machine will replace them, but the insight of decades of working with AI and understanding the horizons ahead and the limitations of both computers and humanity. Both are evolving. After the chaos and confusion settles on this journey, there will always be questions and humans will prompt them, machine aided or not.
The best free public access to powerful AI is currently ChatGPT-3. ChatGPT-3 has 175 billion parameters, and the GPT-3 model is so large that fine-tuning is no longer necessary. The model can perform what is called “few-shot,” “one-shot,” or “zero-shot” learning – which leads to the ability to learn complex tasks from only a few examples, or no examples at all. Since costly labeled data is no longer necessary, few-shot learning could democratize AI and extend it to many more problem domains.
In simple terms, Open AI GPT-3 and much of GPT-4 was pre-trained on four data sets:
- The Common Crawl data set (~60% of GPT-3)
- Two book corpora
- English Wikipedia
Much can be garnered by understanding truly how LLMs work through a new way, by using something I call motifs and studying the models from the inside out, not outside in like most AI scientists are locked into. This requires a new way to prompt the LLMs.
LLM AI is based on human language, and human language is the invention of the human mind. The human mind conceives only what it can understand. Thus, LLM AI may answer one way with a simple prompt, but entirely another way with a SuperPrompt.
SuperPrompts allow Prompt Engineers to elicit far more rich elucidations from LLMs than eve before. They form a complexity to prompting that will bring about outputs that could have never been generated through any other method.
This member only article defines exactly what a SuperPrompt is and how it is different from almost all other AI prompt methodologies. We will explore some of the top specimens, how they work and why they work. By the end of this overview, you will have unique knowledge of why SuperPrompts are important.
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