2min chapter

"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis cover image

E28: Keeping the AI Revolution on the Rails with Shreya Rajpal of Guardrails AI

"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis

CHAPTER

The Importance of Re-Asking in the Large Language Model

There are domains where, let's say, something like any text that is generated must be funny. And I can't imagine like writing a validator that maybe assigns like a scoring function to humor,. Like that's just very hard to do. So there are those domains where this re-asking strategy doesn't work. But the idea of taking what is correct and trying to codify some of that is useful in terms of prompting the large language model. It allows guardrails to construct like prompts that are more effective at getting you what you want. Then it also allows you to like post-shock validation.

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