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What are some challenges in building high-quality generative models?
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Answer / Iqbal Ahmad
Challenges in building high-quality generative models include data scarcity or poor quality of training data, difficulty in modeling long-term dependencies, and the struggle to generate diverse and coherent sequences. Techniques like variational autoencoders (VAEs), Generative Adversarial Networks (GANs), and Transformers have been developed to address these challenges but still face practical limitations.
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