The world of work as it is known today is changing rapidly. This is something perfectly observable thanks to the arrival of new technologies such as artificial intelligence.
As always, doubts arise regarding the future of human beings in the midst of this boom. However, this fear is completely unfounded. Without going any further, according to FeeStories, AI created 3 times more jobs than it eliminated and it shows.
It is true that this perception is difficult to accept because these jobs are nothing like those that exist today, but this Nor would it be the first time that we have a labor revolution of this type: industrial revolution in which the human was replaced by machines or the arrival of the Internet, which also made people skeptical about losing their jobs.
One of the new jobs that are beginning to emerge thanks to AI is that of prompt engineer and that is precisely where this article is going to focus. In order for you to learn what this new job position consists of, what its requirements are and even how much this type of worker charges, It’s time to shell out this concept.
What is a ‘prompt’?
To fully understand this new job position, First you need to know what a prompt.
Put simply, and taking the context of programming and machine learning, a prompt is an initial sentence or phrase that is given to a language model or AI tool like ChatGPT to generate a response or a coherent sequel.
the prompt it can be a question, an instruction, or any other type of input that is used to start the text generation.
For example, if you want to obtain information about the weather in a certain city, the prompt could be: “Please, give me the weather forecast in Madrid for tomorrow”. From this prompt, the model would generate a response that includes the weather forecast you requested.
Here it is important to highlight that he prompt can influence the output generated by the model. Small changes in this can lead to very different answers. In addition, the quality and relevance of the response also depend on the capacity of the model and its training with previous data.
To give you an idea, in the good examples, the prompts are clear, specific, and provide enough information to generate a relevant and coherent response. On the other hand, bad prompts are too broad, vague, or don’t provide enough context, making it difficult for the model to generate a useful or accurate response.
This is the role of a ‘prompt engineer’ in artificial intelligence
With the above already explained as a basis, this profession is the art and science of formulating input cues that guide AI models, such as GPT-4, to generate the desired results. By tuning the input, developers and users can take advantage of the models’ capabilities to create accurate, context-relevant results.
Despite how powerful large-scale language models arestill require human guidance to generate good and consistent results. Also, it is challenging because you need a deep understanding of human-computer interaction, knowledge of natural language processing, and the capabilities of the AI model you are working with.
The only way to achieve this knowledge is through many hours of practice and experimentation with generative AI models of all types, be it text, image, or even voice.
Good directions are essential to get the results you want and minimize the need for multiple iterations or manual intervention. Prompt engineering improves the overall efficiency and usability of AI models in various applications, from programming assistance to content generation.
According to sources such as Time magazine, this job position is far from the typical engineering position. In fact, it doesn’t require advanced coding skills at all. Instead, it relies on familiarity with large language models like ChatGPT, Bard, and many, many more.
Essentially, the people who play the role of the prompt engineer will help companies train AI tools and integrate them into their workflows. And while it’s too soon to tell how popular this role will become, you can see it’s already making its way onto the job board at many companies.
In an interview with Euronews Next, Mairi Bruce, prompt engineer, explained that the success of the prompt depends on the context and the intent of the user. “You’re just trying to make it as easy as possible, and it shouldn’t really be open to interpretation. You have to use your words with intent,” she said.
“It’s like teaching a robot to talk to you. Just like we would use words to communicate with each other,” Michael Delcore, a freelance artificial intelligence engineer and front-end developer, also told Euronews Next.
Current salaries for a PE They can run as high as $200,000 per year, and the job as mentioned above doesn’t necessarily require a computer science degree.
Become a master of the ‘prompts’
Before starting your journey through the prompt engineeringit is essential to follow the following points:
1. Gain knowledge about the AI model: Before diving into prompt engineering, it is crucial to become familiar with the AI model you will be working with. Spending time investigating the model architecture, training data, and its limitations is really the starting point.
2. Start with simple instructions: When starting out, it is very helpful to use simple and direct instructions. Experiment with basic questions, statements, or instructions and see how the model responds. This will give you an idea of how it interprets and processes information.
3. Be specific and clear: Large-scale language models tend to generate more relevant results when given specific and clear instructions.
Avoid ambiguity and provide as much context as necessary to guide the model towards the result you are looking for. For example, instead of asking “What is the best programming language?” you can ask “What is the best programming language for web development?”
4. Experiment with different request structures – this can have a significant impact on the output generated by the model. Experiment with different phrases, question styles, and contexts. For example:
Asking a question: “How can I create a Python function to calculate the factorial of a number?” Giving a command: “Explains the process of creating a Python function to compute the factorial of a number.” Providing examples: “As with the addition and subtraction functions, create a Python function to compute the factorial of a number.”
5. Refine instructions: As you gain experience with prompt engineering, you will develop an understanding of what works and what doesn’t, so you can explore new approaches to improve the quality of the response generated.
6. Consider the ethical implications: it is very important that when entering this world you take into account the ethical implications, avoiding biases in the model training data and seeking to create instructions that promote fairness, responsibility and transparency.
As you can see, the potential of the AI prompt engineer is huge. This ability can automate daily tasks, save time and resources, and drive value for many companies. Hands-on experience and experimentation with AI tools like ChatGPT can help almost anyone start to develop this skill.
