Generative AI is an innovative field reshaping creativity, research, and industry by creating new data through models that sample from learned distributions.
The key sub-domains in Generative AI include Text Generation, Image Creation, Audio & Music, Video & Temporal Modeling, 3D & Spatial, and Code Synthesis.
Aspiring researchers in Generative AI should focus on understanding the fundamentals, choosing the right tools, making a meaningful impact, joining relevant communities, and balancing scale versus novelty.
Success in Generative AI requires starting with curiosity, building a strong foundation, and sharing ideas regularly. The next post will delve into diffusion models and the future of Generative AI.