At first, hardly anyone had one. In the 1970s, calculators were frowned upon because they gave some pupils a competitive advantage. Initially, the evil calculator was banned from class tests, just like a cheat sheet; later, it was tolerated. Then pupils from families with a slightly larger budget had programmable calculators. The teachers didn't understand them, so some students programmed their entire maths exam and were then extremely „diligent“ in the fifth period when the unsuspecting substitute teacher was supervising. The old knowledge gap was restored.
This may help to clarify what is currently happening. Let us take the example of school again. The use of AI is largely undesirable today. Teachers keep a close eye on their students to ensure that no one cheats and has their presentation or homework written by ChatGPT. A little reformatting, two examples inserted, and the AI-generated work passes as their own. At some point, tablets with ChatGPT will be allowed in the classroom. The hardware has already been purchased and Wi-Fi is available. By then, however, the talented students will have advanced so far with the precision of their prompts that their lead in the class could be virtually unassailable.
Back to the topic at hand. What can you do with your new skills in writing successful prompts? Become a prompter! The term „prompter“ in the context of artificial intelligence typically refers to someone who creates or formulates prompts that are then used in AI systems, such as ChatGPT or other text processing models.
What does a prompter do?
ChatGPT: A prompter plays an important role in effectively utilising AI models by formulating specific queries or commands that help the AI provide relevant and accurate responses. Here are some of the main tasks of a prompter:
- Formulate enquiriesA prompt must be able to make clear and precise requests that help the AI deliver the desired results. This may include asking questions, giving instructions, or describing scenarios.
- Provide contextOften, a prompter must provide additional context or specific information to ensure that the AI interprets the request in the correct context.
- Interpreting resultsAfter the AI has provided an answer, it may be the prompt's job to evaluate the results and decide whether they meet the requirements or whether further refinement of the prompts is necessary.
- Training AI modelsIn some cases, the prompt may also be tasked with training or fine-tuning AI models, particularly to improve the AI's response to certain types of prompts.
Areas of application
Prompts are used in many areas, including AI research, content creation, marketing, customer support, and education. Your ability to create effective prompts can significantly influence the performance of an AI system, especially in complex or nuanced interaction environments.
In summary, a prompter plays a key role in how interactive AI systems are used and developed by ensuring that communication between humans and machines is as clear and effective as possible.
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The nice thing is that prompter is not (yet) a profession that requires formal training. At most, there are training courses offered by companies that are looking for prompters themselves and cannot find any. So you can simply declare yourself a prompter. It's about as easy as becoming a management consultant, private detective or used car salesman. So if you mention in your job interview that you've been pushing ChatGPT to its limits for a few months with your prompts, which can sometimes be several A4 pages long, then you're well ahead of the game. But you have to live up to your bold claims. That goes without saying, of course.
The development and use of artificial intelligence has created a multitude of new professional fields and job opportunities spanning many industries. Prompter is just one of them. Here are some key areas and specific jobs that have been created or significantly influenced by AI:
- AI development and research:
- AI researcher/engineer: Develops new AI models and algorithms.
- Machine Learning Engineer: Specialises in the development and training of machine learning models.
- Deep Learning Engineer: Focuses on deep neural networks and their applications.
- Data science and analytics:
- Data scientist: Uses AI to analyse large amounts of data and gain insights from it.
- Data analyst: Uses AI tools for data visualisation and analysis.
- Data engineer: Builds infrastructures for data collection and processing required for AI applications.
- AI application development:
- AI software developer: Integrates AI functions into software products.
- Robotic Process Automation (RPA) Developer: Automates business processes with the help of AI.
- Healthcare:
- Bioinformatician: Uses AI to analyse and interpret biological data.
- Clinical data manager: Uses AI to improve data collection and analysis in healthcare.
- The automotive industry and autonomous driving:
- Autonomous driving engineers: Develop systems for self-driving vehicles using AI.
- Traffic analysts: Use AI to optimise traffic flows and management.
- Customer service and management:
- Chatbot developer: Creates intelligent chatbots that use AI to communicate with customers.
- Customer Experience Manager: Uses AI to analyse customer interactions and improve the customer experience.
- Marketing and sales:
- Digital marketing analyst: Uses AI to optimise marketing campaigns and target group analysis.
- Sales Operations Analyst: Uses AI to improve sales strategies and processes.
- Ethics and safety:
- AI Ethics Officer: Oversees the ethical implementation and use of AI technologies.
- AI security expert: Specialises in the security of AI systems and their protection against misuse.
These jobs reflect only a fraction of the opportunities created by AI. AI has the potential to transform working practices and create new job roles in almost every sector, from art and design to agriculture and logistics.
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A nice closing remark for this series of articles. In the next instalment, „Artificial Intelligence 7“, we will look at the creation of images using AI.
