How can i become a strong prompt engineer

A learner seeking to become a strong prompt engineer asked for advice on skills, techniques, and resources, prompting responses from experienced practitioners. Experts emphasize understanding LLMs, transformers, and tokenization, and recommend iterative testing and evaluation frameworks to improve prompt reliability.

Hi everyone, I’m currently learning Generative AI and Prompt Engineering, and I want to improve my skills beyond writing simple prompts. My goal is to become a strong Prompt Engineer who can design reliable and effective prompts for real-world applications. I’d like to learn from people who have practical experience in this field. What skills and concepts should I focus on to become a strong Prompt Engineer? How do experienced Prompt Engineers approach prompt design? What techniques do you use to make prompts more reliable and consistent? How do you evaluate whether a prompt is good or needs improvement? Are there any frameworks, methodologies, courses, or projects you recommend for practicing Prompt Engineering? How important is it to understand LLMs, Transformers, tokenization, and model behavior? I’d really appreciate any advice, resources, or practical experiences you can share. Thank you