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?

What are some potential applications for each type of model?

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?

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

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?