Creating a new generative model using novel techniques requires a lot of research, experimentation, and creativity. A good approach is to identify a specific problem or area of interest that has not yet been explored or solved with existing models. Then, you can explore different algorithms, architectures, and training techniques to develop a new model that can effectively tackle the problem. It's important to stay up-to-date with the latest research in the field and to constantly iterate and improve upon your model. Collaborating with other researchers and seeking feedback from peers can also help to refine and optimize your approach.
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