  The Generative Education (GenEd) Framework explores the transition from Large
Language Models (LLMs) to Large Multimodal Models (LMMs) in education,
envisioning a harmonious relationship between AI and educators to enhance
learning experiences. This paper delves into the potential of LMMs to create
personalized, interactive, and emotionally-aware learning environments. Through
addressing the Two-Sigma problem and the introduction of a conceptual product
named Harmony, the narrative emphasizes educator development, adapting policy
frameworks, and fostering cross-sector collaboration to realize the envisioned
AI-enhanced education landscape. The discussion underscores the urgency for
proactive adaptation amidst AI's evolution, offering a pragmatic roadmap to
navigate the technical, ethical, and policy intricacies of integrating AI in
education.
