{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/7ddce459878e45aab8bc82a25db7c875\" frameborder=\"0\" width=\"1728\" height=\"1296\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1296,"width":1728,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1296,"thumbnail_width":1728,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/7ddce459878e45aab8bc82a25db7c875-1692517932547.gif","duration":203.33446732100006,"title":"Data Trans Project Overview 👩‍💻","description":"Hi everyone, my name is Dorna Heydari from Team Netmine in Victoria. We participated in Dike University and developed a project called Data Trans. Our goal was to make public archives more accessible. In this video, Ariel will explain the technical aspects of our project, including how we extracted information from various documents using OCR and transformed it into vectors. We then utilized large language models to ask questions and gain insights from the data. Stay tuned to learn more about our innovative approach!"}