Browsing by Subject "prompt engineering"

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    Prompt Development 101 for Medical Educators: Crafting Effecting GenAI Prompts
    (2025-04-25) Dolan, Levi; Khirallah, Samar; Cale, Andrew; Shanks, Anthony
    Introduction/Background As the effects of Generative AI (GenAI) reverberate throughout higher education, interactive learning and technological skill development are necessary. Prompt engineering is the practice of crafting specific instructions, called "prompts", to guide artificial intelligence models, particularly large language models (LLMs), to generate desired outputs through iteratively utilizing learned techniques. Prompt engineering has emerged as a critical competency for effectively leveraging artificial intelligence tools in medical education and professionalization contexts. Study objectives/hypothesis This workshop aims to provide learners with best practices for prompting by incorporating hands-on practice. The goal is to move users beyond the “playing around” stage of GenAI and allow them to incorporate this powerful tool into their work. The workshop objectives are to: Introduce fundamental prompt engineering concepts and summarize best practices Apply these skills in an interactive workshop and critically analyze prompting strategies Explore security considerations in GenAI applications relating to medical education Methods A structured, hands-on workshop will be conducted with the following approach: Instructor-led introduction of prompting concepts Guided prompt implementation on personal computing devices Collective result sharing and discussion Resource sharing on institutional security guidance Results Attendees can expect to walk away with: Increased understanding of prompt engineering principles Experience with iterating and critically evaluating AI-generated responses New applications for GenAI in participant workflow Enhanced awareness of potential data ethics and security considerations in GenAI use