Winter School Modules

This Winter’s pedagogical program includes five hands-on seminars and workshops led by recognized practitioners and experts in their respective fields. In each course, We will focus on harnessing contextual AI models in building business-ready applications

AI and the Importance of Context

This interactive seminar will explore the importance of developing contextual AI models in fields ranging from communications to transportation to manufacturing. Based on the case studies of our Executive White Paper, students will explore the mechanics of training AI models in real-world conditions while improving the reliability, flexibility, and usability of AI applications.

This introductory workshop is designed to help the participants work with data science platforms, a range of the industry’s algorithms, and customer data to model realistic scenarii for improving operational processes and propose specific service scenarios under the supervision of a Corporate Project Manager. Particular attention is given to improving the AI model’s capacity to perform inference on tasks conditioning solely on in-context exam

This hands-on workshop will cover the necessary topics to build this business-ready application that seamlessly integrates question answering and chat functionalities. Participants will gain expertise in designing a one-pass question answering solution, creating a multi-purpose chatbot, and integrating text-to-speech and speech-to-text capabilities in a seamless and interactive user experience.

In this integrative workshop, participants will learn how to leverage AI Reasoning in building their own knowledge management system. Participants will delve into the intricacies of leveraging LLMs inside application frameworks efficiently retrieve information and then execute associated applications, harnessing the strengths of various language models to enhance human-machine interfaces..

this unique symposium will explore the ethical challenges of working with contextual data. In addressing the opportunities identified in the Winter School, this workshop will focus on the specific challenges of autonomous AI: preserving human agency, developing collaborative intelligence, the consequences of implicit bias, and the evolution of managerial accountability. .