A “prompt engineer” can be used to describe an individual who specializes in the practice of prompt engineering, which involves designing and refining prompts to optimize the performance and behavior of language models.
A prompt engineer would be someone who possesses a deep understanding of language models, their capabilities, and their limitations. They would have expertise in crafting prompts that elicit the desired responses and can effectively guide the model’s behavior. They would be skilled in analyzing the output of the language model, identifying issues or biases, and iteratively refining prompts to improve the model’s performance.
A prompt engineer may work in collaboration with researchers, data scientists, or developers who are involved in training and fine-tuning language models. Their role would be to contribute to the prompt design process, experiment with different prompt variations, evaluate model outputs, and iterate on prompts to enhance the model’s performance in specific applications or domains.
While not a widely recognized or established role, a prompt engineer would be someone who leverages their expertise in prompt engineering techniques to maximize the effectiveness and utility of language models in various applications, such as chatbots, virtual assistants, content generation, and more.