Guardrails AI: Ensuring Safety in AI Systems

Guardrails AI, founded by Shreya Rajpal, focuses on the reliable use of large language models (LLMs) in production scenarios. The company aims to address safety concerns in LLMs by enforcing correctness criteria. Hallucinations, where LLMs generate incorrect or irrelevant responses, are a major concern. Guardrails AI provides a catalog of validators that can be used to check for specific correctness criteria, such as ensuring grounding in source documents and preventing the violation of domain-specific constraints. The open-source project, Guardrails, acts as a secondary layer surrounding LLMs to ensure reliability and prevent incorrect outputs. It allows developers to create custom checks and rules specific to their use case. By running these validators and checks, developers can gain confidence in the outputs of LLMs and mitigate risks in various applications, such as chatbots, information extraction, and generating SQL queries from natural language.