Ahmad Albarqawi
Ahmad is a data scientist with a Master from Illinois at Urbana-Champaign. He worked on a study to accelerate clinical tasks using language models and founded MedWrite AI company.
Ahmad is an active contributor to GitHub and has published open-source projects adopted by thousands of developers. He also writes articles about machine learning in various outlets to bridge the gap between research and practical applications.
Sessions
Graph theory is a well-known concept for algorithms and can be used to orchestrate the building of multi-model pipelines. By translating tasks and dependencies into a Directed Acyclic Graph, we can orchestrate diverse AI models, including NLP, vision, and recommendation capabilities. This tutorial provides a step-by-step approach to designing graph-based AI model pipelines, focusing on clinical use cases from the field.