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

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

5 snips
May 23, 2023
Shreya Rajpal, the creator of Guardrails AI and a former engineer at Apple, discusses groundbreaking advancements in AI output validation. She explains how Guardrails AI ensures reliability in language models, preventing them from 'going off the rails.' Shreya shares practical use cases, emphasizing the unique capabilities of her framework compared to traditional coding. The conversation also navigates the balance between AI autonomy and human oversight, shedding light on the future of AI in software development and creative applications.
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ADVICE

Control LLMs with Specifications

  • Control LLMs with a specification framework, validating and verifying each output component.
  • Address failing components with extensible tools, ensuring desired user experiences.
ANECDOTE

Credit Card Agreement Example

  • Shreya Rajpal used a credit card agreement to extract key terms, ensuring data reliability.
  • This prototype demonstrated how to enforce constraints, like interest rates being numbers within a range.
ANECDOTE

Waymark's Use of LLMs

  • Waymark uses LLMs for video creation, with GPT-4 demonstrating reliable scriptwriting.
  • GPT-3.5 is less reliable but cheaper, highlighting the cost-reliability trade-off.
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