The Data Exchange with Ben Lorica The Essential Guide to AI Guardrails
11 snips
Dec 12, 2024 Shreya Rajpal, CEO and co-founder of Guardrails AI, shares insights on the critical role of guardrails in AI applications. She discusses how these frameworks enhance the reliability and safety of generative AI technologies. Shreya dives into challenges faced in open-source projects and emphasizes the need for adaptable strategies to manage risks like bias and toxicity. The conversation also highlights the importance of community standards and the evolution of performance metrics to ensure successful AI deployments.
AI Snips
Chapters
Transcript
Episode notes
AI Guardrails Defined
- AI guardrails are explicit validation or verification checks around AI/LLM calls.
- They ensure the model's assumptions remain valid for your specific use case.
Guardrail Awareness
- Generative AI guardrail awareness is currently high, especially in late 2024.
- Early-stage startups and large financial institutions show the strongest interest.
Guardrails and Self-Driving Cars
- Shreya Rajpal's background in self-driving cars influenced her view on guardrails.
- Guardrails help deploy AI safely in high-stakes scenarios, not hinder progress.