If you’ve had any experience with major artificial intelligence (AI), you’ve likely been amazed by the power of modern technology. However, you’ve also probably been left scratching your head after getting a strange answer or how the AI completely misunderstood your question. However, it is likely a small discrepancy in your wording or phrasing that would’ve gone undetected by a person, but can seriously confuse an AI. It’s likely this reason that a whopping 81% of IT professionals think they can use AI, but only 12% have proven they actually have the skills to effectively engineer AI prompts.
This skillset is incredibly desired, with around 66% of leaders flat out refusing to hire someone if they don’t possess any AI skills. On top of that, 72% of IT leaders believe AI skill gaps are a deficit that must be urgently addressed. So, with a 50% hiring gap in AI jobs and AI job roles, it is more crucial now than ever to learn AI to improve both your skill set and resume. So, what kind of techniques can you use to prompt an AI?
AI prompt engineering is defined as the art of structuring instructions in a way that generative AI can effectively interpret and respond to. However, the approaches used can be varied based on the type of AI. For many text-based AI, ‘chain-of-thought’ is a commonly used approach. This approach involves the AI determining an answer and proving it to the user through a set of intermediary steps. In addition, chain-of-symbol, generated knowledge prompting, and least-to-most prompting are all used to further refine an AI to remember user responses and use it within its responses.
For image and video generative AI, the techniques can be a bit more varied. Negative prompts, for example, involve providing an AI with an image and telling it to exclude a specific element within it. Similarly, there is textual inversion, which provides AI with a set of training images and asks it to generate something similar to the training images. These are more focused on altering or creating from an existing image, rather than creating something entirely new.
Regardless of the type of AI you’re interested in, learning the fundamentals is never a bad first step. Fortunately, with companies like YU Global, learning AI has never been easier. They offer beginner and intermediate AI courses for all learners. They even offer specified AI courses for topics like financial management, marketing, and entrepreneurship. Regardless of what field you’re in, YU Global makes it easy to learn AI.
