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Candidates should be prepared to define Generative AI Course, explaining how it involves creating new content, such as images, text, or music, using algorithms and models like GANs (Generative Adversarial Networks) and transformers. Interviewees should discuss techniques such as supervised Generative AI Interview Questions, unsupervised learning, and reinforcement learning, as well as data preprocessing and augmentation. Candidates should address issues like bias in training data, the potential for misuse, and the importance of transparency in AI-generated content.

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