As generative AI becomes more prevalent in the business world, the demand for efficient engineers is on the rise. This has led to an investigation into whether AI can automate or at least assist the role of prompt engineers. A recent study focused on creating the best prompts for a large-language model (LLM) AI to solve mathematical problems has revealed that AI-generated prompts yield better results than those created by humans. The study aimed to determine if human-generated “positive thinking” prompts produce better responses, but the results were mixed when using different LLMs.
However, the study found that AI-optimized prompts consistently equaled or surpassed the effectiveness of human-generated prompts in nearly all instances. This conclusion highlights the superior capability of AI to optimize its own prompts, making it easier to produce consistently great answers compared to human-generated prompts.
Another study from 2023 came to a similar conclusion, emphasizing the superior capability of AI to optimize its own prompts. The researchers noted that engaging in the iterative process of refining prompts and monitoring the subsequent score progression can be enjoyable but highly time-inefficient.
Despite the potential of AI-optimized prompts, ethical considerations have been raised. As AI continues to advance, there are concerns about prioritizing cost-cutting over larger ethical considerations. The question of whether AI should prompt itself raises ethical concerns and the potential sidelining of human prompt engineers.
2024-03-12 14:51:03
Source from www.computerworld.com