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Question 1 of 10
- Generative Adversarial Networks (GAN) involve two neural networks. What is the role of the generator in a GAN?
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Question 2 of 10
- In Variational Autoencoders (VAEs), what is the role of the encoder?
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Question 3 of 10
- How do Pixel Recurrent Neural Networks (PixelRNNs) generate images?
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Question 4 of 10
- What is one of the key challenges in evaluating the quality of generative AI output, as mentioned in the content?
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Question 5 of 10
- According to the content, what are the four ways to gauge the quality of generative AI output?
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Question 6 of 10
- Â What is the first step in crafting an evaluation strategy for your Generative AI use case?
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Question 7 of 10
- Â When assessing Generative AI for generating social media posts, what does “good” quality content typically mean, according to the content?
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Question 8 of 10
- Â In the human review process, what is one of the main things evaluators should check for when assessing AI output, as mentioned in the content?
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Question 9 of 10
- Â Why is it suggested to have at least two people, ideally from different teams, evaluate the AI output during the human review process?
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Question 10 of 10
- Â According to the content, what is the ultimate benchmark for applying Generative AI into your workflows?
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