The boom in artificial intelligence models is giving rise to a field known as “Prompt engineering”. It's about creating text that's optimized for input and generating accurate results from AI models. What does it really mean, and what is its future potential?
Prompt engineering is a rapidly evolving field that focuses on designing and developing systems that can generate human input such as text, voice, and images. Inputs that can make user interaction with an artificial intelligence more natural and intuitive.
Why are (and will be) prompt engineers needed?
With the increased use of artificial intelligence models such as Chat GPT, midjourney and others there is a lot of confusion about how to make the most of their potential. One of the keys to getting the most out of these models is adequate data preparation input. This includes properly “cleaning,” normalizing and formatting the data used to train it, so that it is in the correct format and of high quality.
Another important aspect is the choice of model architecture and design. This includes choosing the right type of model and tuning its parameters for optimal performance. Once trained, it is critical to properly deploy and integrate the model into your application. This includes the ability to handle real-world data, as well as implementing appropriate security and privacy measures.
Prompt engineering, new knowledge on the horizon…
Mind you: the collective imagination sees a field of this kind as that of the nineteenth-century "scribe", who helped the illiterate to write letters and read documents. Professionals capable of "talking" well with a machine, to make it produce content, a graphic image or anything else in the exact way it is designed. In a certain sense it is also this, but it is not only this. The rest is elsewhere, and is projected towards the future.
A future in which there will not only be "general" artificial intelligence tools, but very detailed vertical models that will deal with individual categories, or individual commercial activities.
Chatbots that will do customer service, and will have to receive specific training on a company's products, its corporate values, the tone of responses to be given and other information that will have to be provided in the right way. Not to mention the medical AI, who will have to "chew" much more sensitive data. There are so many possible scenarios.
…and new professions
Prompt engineering can play a crucial role in shaping the future job market. It has the very important job of helping ensure that AI technologies are designed, trained and deployed effectively to meet the needs of various industries and applications. Not to mention the fact that this field also aims to save the company by optimizing activities and processes.
One of the consequences of prompt engineering on the job market is the creation of new opportunities for professionals with specialized skills in artificial intelligence and machine learning. As more companies adopt AI technologies, the demand for prompt engineers, data scientists, and other experts in these fields will continue to grow.
Another subject that you won't find (yet) in universities, and that didn't even exist until... last December?
