According to a report by Bloomberg on March 29th of this year, there is a new emerging position in the market called "Prompt Engineer," which can earn an annual salary of up to two million Hong Kong dollars due to the recent rise of generative AI. This position has attracted attention not only because of its lucrative salary but also because it does not require advanced technical skills. As one of the global IT hubs, it is essential for Hong Kong to understand the reasons behind this phenomenon.
Prompt Engineers are primarily responsible for designing and optimizing the interaction methods of generative AI systems. They create and test prompts that are intended to trigger responses from generative AI systems, evaluating and enhancing their performance and accuracy. It is important to note that these engineers are not responsible for developing large language models (LLMs) or AI systems themselves, so they do not need an advanced technical background. In summary, the responsibilities of Prompt Engineers include:
Creating prompts: They formulate a series of textual prompts or questions to explore AI responses to different types of inputs.
Analyzing responses: They thoroughly analyze AI responses to prompts, examining language accuracy, consistency, and other important attributes.
Optimizing AI models: Based on the analysis of responses, they adjust and optimize the parameters and settings of AI models to make responses more precise and natural.
Iterating and improving: This is an ongoing process where they continuously create new prompts, analyze responses, and optimize AI models.
Collaborating with other teams: They work closely with product, design, and engineering teams to ensure that AI systems meet user needs and expectations.
So, what are the core skills required to become a Prompt Engineer? It is actually a skill that combines art and science, with the main goal of designing queries and statements that can extract meaningful and accurate responses from language models. This may be based on specific models designed for prompt engineering to address different needs and scenarios. For example, role modeling sets virtual personality traits for AI, enhancing the human-like and consistent nature of responses. For instance, setting AI as a librarian character would result in responses that are knowledgeable, polite, and helpful when users ask questions about books, as if interacting with a real librarian.
As we embrace generative AI more widely, the role of Prompt Engineers will become increasingly important, as they have the potential to empower various industries. For example, in the field of scientific research, scientists and researchers are often overwhelmed by vast amounts of data. Prompt Engineers can bridge this gap by enabling AI models to efficiently filter and analyze this data, providing valuable insights and discoveries that drive innovative breakthroughs. Law enforcement and legal departments can also benefit from this. AI models guided by Prompt Engineers can assist in analyzing legal documents, predicting crime patterns, and providing investigative insights, resulting in faster legal processes, improved public safety, and a more responsive judicial system. It is not just about enabling AI to understand and respond to our questions but also ensuring that every response is accurate and useful. Combining generative AI with prompt engineering contributions, it is not difficult to understand why companies are willing to offer high salaries to attract talent in this field.
