How can AI help people study Jewish texts and answer religious questions? Moderated by Jennifer Schenker (The Innovator), this DLD24 panel discussion brings together Lev Israel (Sefaria), Paul Chang (appliedAI) and Antoine Leboyer (TUM Venture Lab).
Watch the video to learn about Virtual Havruta, a chatbot project that aims to provide answers to questions in Judaism by drawing on vast libraries of Jewish texts.
It uses retrieval augmented generation (RAG) techniques to ensure answers are accurate and dependable – which makes it a good test case for improving generative AI models.
The project is a collaboration between Safaria, the applied AI Initiative and the Technical University of Munich.