Guardrails AI
Overview
An open-source Python framework designed to add guardrails to large language models, ensuring reliable and safe AI application development.
Guardrails AI is an open-source Python framework that helps developers build reliable AI applications by adding guardrails to large language models (LLMs). It performs two key functions: running input/output guards to detect and mitigate risks, and generating structured data from LLMs. Guardrails can be integrated with any LLM, providing features such as real-time hallucination detection, validation of generated text for toxicity, truthfulness, and PII compliance, and serving as a standalone service via a REST API. The framework supports streaming validation, structured data generation, and monitoring, enhancing the safety and reliability of AI applications.
Some of the use cases of Guardrails AI:
- Developing AI applications with enhanced safety and reliability.
- Implementing real-time validation and mitigation of risks in LLM outputs.
- Generating structured data from large language models.
- Ensuring compliance with ethical guidelines in AI-generated content.
- Integrating guardrails into existing AI workflows to prevent undesirable outputs.
Guardrails AI Video:
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