Predictive vs Generative AI: How They Work and When to Use Each
Predictive AI forecasts specific outcomes using structured data, while generative AI creates new content from unstructured data, serving distinct purposes with different outputs and data requirements.
MAIN POINTS FROM TRANSCRIPT
- Predictive AI forecasts future events using historical data, providing measurable outcomes like probabilities or categories.
- Generative AI creates new content resembling its training data, producing subjective outputs like text, images, or code.
- Predictive AI relies on structured data, such as database tables, for accurate predictions.
- Generative AI uses unstructured data, identifying patterns to generate novel content.
TAKEAWAYS
- Predictive AI answers "what will happen?" by mapping data to specific outcomes.
- Generative AI answers "what could this look like?" by producing diverse, subjective content.
- Large language models are both generative and predictive, predicting tokens to generate content.
- The distinction between predictive and generative AI lies in their data consumption and output nature.