Toolkit for adding programmable guardrails to LLM-based conversational AI
NeMo Guardrails is an open-source toolkit that allows developers to easily add programmable guardrails to LLM-based conversational applications. It provides a way to control and guide the output of large language models, enhancing safety, reliability, and functionality of AI chatbots and conversational agents
NeMo Guardrails Key Features
INPUT RAILS,
DIALOG RAILS,
RETRIEVAL RAILS,
EXECUTION RAILS, OUTPUT RAILS,
CUSTOMIZABLE GUARDRAILS,
MULTI-MODEL SUPPORT,
COLANG SCRIPTING
NeMo Guardrails Use Cases
SAFETY ENHANCEMENT,
TOPIC GUIDANCE,
DETERMINISTIC DIALOGUE FLOWS,
RAG INTEGRATION,
CONVERSATIONAL AGENT DEVELOPMENT
Pros
Enhances safety, reliability, and functionality of AI chatbots.
Open-source, providing flexibility for developers to customize.
Allows for easy integration of guardrails into existing systems.
Programmatically controls the output of large language models.
Improves user experience by guiding chatbot responses.
Cons
May require technical expertise to effectively implement.
Limited to those familiar with LLM-based conversational apps.
Potential for increased complexity in chatbot development.
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