Gen AI Quiz - From Slide

What is Generative AI?

• A type of artificial intelligence that creates new content

• Learns from existing content through training

• Creates statistical models to generate novel outputs

• Can produce text, images, audio, and more

What types of content have you seen that might be AI-generated?

• AI, Machine Learning, and Deep Learning

• AI: Machines that can reason, learn, and act autonomously

• Machine Learning: AI systems that learn from data without explicit programming

• Deep Learning: ML using artificial neural networks

• Generative AI is a subset of deep learning

How do you think these different levels of AI relate to each other?

• Supervised vs Unsupervised Learning

• Supervised: Uses labeled data to predict outcomes

• Unsupervised: Finds patterns in unlabeled data

• Semi-supervised: Uses both labeled and unlabeled data

• Generative AI can use all three approaches

Can you think of examples where each type of learning might be useful?

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What are some potential applications for each type of model?

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How Generative AI Works

• Trains on large datasets to learn patterns

• Creates a statistical model of the data

• Uses the model to generate new, similar content

• Relies on probability distributions to make predictions

How do you think Transformers have changed AI capabilities?

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What are some potential benefits and drawbacks of using foundation models?

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Which of these model types do you find most interesting or promising?

• Text-to-Text: Translation, summarization

• Text-to-Image: DALL-E, Stable Diffusion

• Text-to-Video: Animated content creation

• Text-to-3D: Object generation for games, VR

How might LLMs impact various industries and professions?

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