Flashcard on Generative AI

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Which of the following best describes Generative AI? A type of AI that classifies and labels existing data, AI that generates new content based on learned patterns, AI that retrieves information from the web, AI that only performs arithmetic operations

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AI that generates new content based on learned patterns

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What is a key advantage of Generative AI compared to traditional AI models?

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It can generate novel and creative content

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Which of the following is NOT a common application of Generative AI? Image generation, Code generation, Data encryption, Text summarization

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Data encryption

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Which of the following models is NOT typically used in Generative AI? GANs (Generative Adversarial Networks), Variational Autoencoders (VAEs), Decision Trees, Diffusion Models

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Decision Trees

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How do GANs generate realistic content?

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By using two networks: a generator and a discriminator

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Which Generative AI model type is best suited for generating high-resolution images?

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Diffusion Models

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What is the main function of the transformer architecture in Generative AI models?

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To predict the next token in a sequence based on context

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In the transformer model, what mechanism helps the model understand relationships between words?

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Self-attention mechanism

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Generative AI models like GPT are typically trained using:

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A combination of supervised pretraining and reinforcement fine-tuning

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What is a fundamental difference between Generative AI models like GPT and search engines?

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GPT generates responses based on learned patterns, while search engines retrieve existing documents.