Book-Generative AI Design Patterns

“Generative AI Design Patterns” by Valliappa Lakshmanan, Hannes Hapke Quality and robustnessBy reviewing its own outputs, an AI can catch errors before it presents results to users. Logging these reviews also helps identify edge cases and potential failure modes. Mitigation of reasoning and planning limitationsReflection allows for iterative refinement of reasoning processes. For novel and […]

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Book: Prediction Machines

“Prediction Machines: The Simple Economics of Artificial Intelligence” by Ajay Agrawal, Joshua Fans, Avi Goldfarb “As we’ll explain, AI is a prediction technology, predictions are inputs to decision making, and economics provides a perfect framework for understanding the trade-offs underlying any decision.” Trade-offs: “More data means less privacy. More speed means less accuracy. Moe autonomy […]

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