Today, AI has become a technology that can assist humans in many ways. Current uses of AI are diverse, from simple ones such as helping to find information, perform analysis and problem-solving, and complete specific tasks to perhaps one day completely replacing the functions of an organization.
Generally, AI is a technology that can mimic human intelligence by learning patterns and providing a response. The rapid development of AI can transform the way businesses work, making them faster and more productive. Implementing it requires the correct engineering prompts to generate data or results according to the command provider’s wishes.
In reality, the use of Generative AI faces many challenges, such as:
*AI Hallucination, which means AI can make errors in providing information
*Black Box Problem, which means it’s quite difficult to understand the AI’s working processes
*Requires high computing standards
*Legal concerns regarding copyright and personal data, as many countries worldwide have yet to establish legal regulations regarding AI
Currently, the technique of prompt engineering is widely studied. Numerous standards have been developed by individuals who have studied prompt engineering in depth. Simply put, prompt engineering is a technique for creating commands to achieve desired results. The structure of these prompts has undergone many modifications depending on the individual or team studying and developing them. In the training provided by Aditya Training to the ID team, a structure for creating a prompt is provided:
*Role: Designed to assign a role to the AI
In practice, this role can be used to enable the AI to fulfill a given role. For example, in business activities, this role can contain instructions for the AI to become a customer with certain criteria as needed for market research.
*Instruction: Providing commands
After being assigned a role, the AI will then be given instructions, for example, to find the market share for a particular product (this can be explained in more detail).
*Example/Brief: The given context
In this case, an example of terms and conditions for determining market share can be provided. For example, market conditions, market dominance, and so on.
*Context / Criteria: Expected Output
The results of a prompt can consist of various outcomes depending on the given criteria. In this case, the criteria for the results can be provided in the form of descriptions, point by point, tables, or even graphs, and explanations depending on the needs.
In closing, it should be noted that AI is not a tool that can completely replace human work. While some jobs may eventually be replaced by AI, many cannot be. AI can be a powerful tool for increasing productivity and decision-making. Therefore, prompt engineering skills are crucial to optimize AI performance to achieve desired results.