The InfoQ Podcast
Shreya Rajpal on Guardrails for Large Language Models
Jan 8, 2024
Shreya Rajpal, CEO and Cofounder of Guardrails AI, talks about building guardrails for large language model applications, ensuring reliability and safety, and the importance of verifying JSON outputs and string responses. They discuss where the guardrails are built in the model, limitations of prompts, and the impact of guardrails on applications such as chatbots and structured data extraction.
20:49
Episode guests
AI Summary
AI Chapters
Episode notes
Podcast summary created with Snipd AI
Quick takeaways
- Guardrails AI addresses the reliability and safety issues in large language model applications, ensuring inputs and outputs adhere to specific correctness criteria.
- Guardrails AI acts as a sidecar that checks inputs before they are sent to the language model and verifies outputs before they are delivered to the application, providing customizable validators to enforce different correctness criteria.
Deep dives
Guardrails AI: Ensuring Reliability and Safety for Large Language Models
Guardrails AI is an open-source framework that addresses the problem of reliability and safety in large language model applications. While generative AI models are flexible and functional, they often lack reliability. Guardrails AI acts as a firewall around language model APIs, ensuring that inputs and outputs adhere to specific correctness criteria. This includes checking for issues like hallucinations and profanity and enforcing specific functional requirements. Guardrails AI acts as a shell surrounding the language model, safeguarding against dangerous or unreliable outputs.
Remember Everything You Learn from Podcasts
Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.
