The Three Paradigms of AI: ML, Deep Learning, GenAI
- Generative AI
This lesson recaps the three paradigms of AI before diving into h2oGPTe. It covers machine learning, which works with structured numerical data such as age or lifestyle attributes to make predictions like hypertension risk, and deep learning, which extends to multimedia data such as images and audio, illustrated by detecting diseases like COVID-19 from chest X-rays. It then introduces generative AI as building on deep learning to not just analyze but generate new outputs, such as an interactive patient-screening chatbot.
Key takeaways
- How machine learning differs from deep learning in the type of data each is built to process
- What example illustrates deep learning in this lesson: detecting COVID-19 from chest X-ray images
- Why generative AI is described as building on deep learning to generate new outputs, not just analyze them
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