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How do you select the right model architecture for a specific Generative AI application?
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Answer / Nivedita Bhatt
Selecting the right model architecture for a specific Generative AI application involves understanding the problem domain and the required output. For text generation tasks, models like GPT or T5 might be suitable. For tasks that require understanding context, BERT or RoBERTa could be used. Sometimes, more complex architectures like transformers or recurrent neural networks (RNN) might be necessary for more challenging problems.
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