Séminaire ayant lieu dans le cadre du doctorat en informatique cognitive, en collaboration avec le centre de recherche CRIA et l'ISC     

Jules WHITE

Jeudi le 20 mars 2025 à 10h30

Local: PK-5115   (Il est possible d'y assister en virtuel en vous inscrivant ici)   

TITRE :  Generative AI will Reshape Computing and Innovation

RÉSUMÉ

Generative AI introduces a new computing paradigm, serving as an interface that translates human goals into computational actions. This talk examines three core aspects: generating computation from prompts, optimizing code, and coordinating API integration. A key shift is the emergence of prompt engineering, which enables users to specify complex tasks in natural language, differing from traditional programming. These new abstractions redefine how computation is conceived and executed. Generative AI also reshapes software development, empowering domain experts while computer scientists focus on scalable frameworks. This shift fosters collaboration between human creativity and machine intelligence, expanding computational accessibility.

BIOGRAPHIE

Jules WHITE, Professor of Computer Science at Vanderbilt University and Senior Advisor to the Chancellor for Generative AI, directs Vanderbilt’s Initiative on the Future of Learning & Generative AI. His research spans cybersecurity, mobile/cloud computing, and AI, with over 170 publications and multiple Best Paper Awards. He is a National Science Foundation CAREER Award recipient. He created one of the first online classes for Prompt Engineering.

RÉFÉRENCES

White, J., Hays, S., Fu, Q., Spencer-Smith, J., & Schmidt, D. C. (2024). Chatgpt prompt patterns for improving code quality, refactoring, requirements elicitation, and software design. In Generative AI for Effective Software Development (pp. 71-108). Cham: Springer Nature Switzerland.

White, J., Fu, Q., Hays, S., Sandborn, M., Olea, C., Gilbert, H., ... & Schmidt, D. C. (2023). A prompt pattern catalog to enhance prompt engineering with chatgpt. arXiv preprint arXiv:2302.11382.