Zain Hasan
Zain Hasan is a Senior AI/ML DevRel Engineer at Together AI a company that allows people to train, fine-tune, and run generative AI models faster, at lower cost, and at production scale. He is an engineer and data scientist by training, who pursued his undergraduate and graduate work at the University of Toronto building artificially intelligent assistive technologies. He then founded his company developing a digital health platform that leveraged machine learning to remotely monitor chronically ill patients. More recently he practiced as a consultant senior data scientist in Toronto. He is passionate about open-source software, education, community, and machine learning and has delivered workshops and talks at multiple events and conferences.
Sessions
Traditional document processing for Retrieval-Augmented Generation (RAG) often involves cumbersome, error-prone extraction pipelines, hampering AI's ability to retrieve high-quality information from complex formats like PDFs and PowerPoint decks. ColPali disrupts this process by embedding entire pages—text, visuals, and layout—into rich, multi-vector representations using Vision Language Models (VLMs). This talk explores how ColPali, paired with multimodal models like the Llama 3.2 Vision series, enables RAG systems to “see” and reason over documents, dramatically improving retrieval performance. Attendees will learn to implement ColPali for enhanced, scalable, and robust enterprise knowledge retrieval.