Stream Smarter and Safer: Learn how NVIDIA NeMo Guardrails Enhance LLM Output Streaming

Table of Contents

1. Introduction
2. Streaming with NeMo Guardrails
   • Optimizing latency and responsiveness
   • How streaming mode in NeMo Guardrails works
   • Chunked processing
   • Context-aware moderation using buffer
   • Detect blocked content
3. Streamline your generative AI outputs with NeMo Guardrails
   • Streaming implementation: configuration and code
   • Streaming configuration
   • Reducing perceived latency
   • Applying comprehensive safety checks
   • Integration with real-time safety NIM
4. Conclusion

Introduction

In this document, we will explore how NVIDIA NeMo Guardrails enhance the streaming of Language Model (LLM) outputs, optimizing latency and ensuring safety checks in real time.

Streaming with NeMo Guardrails

Optimizing latency and responsiveness

NeMo Guardrails processes output rails synchronously by default, but enabling streaming mode allows for incremental validation, sending tokens to users as they are generated.

How streaming mode in NeMo Guardrails works

• Chunked processing: The LLM response is split into configurable chunks for processing.
• Context-aware moderation using buffer: Validation of responses uses a sliding window buffer of recent tokens to assess the response with enough context.
• Detect blocked content: Guardrails service checks processed chunks of tokens for safety compliance.

Streamline your generative AI outputs with NeMo Guardrails

Streaming implementation: configuration and code

• Streaming configuration: Enables response streaming for improved Time To First Token (TTFT).
• Reducing perceived latency: Users can see partial responses while generation continues.
• Applying comprehensive safety checks: Content safety checks are applied on subsequent chunks.
• Integration with real-time safety NIM: NeMo Guardrails work efficiently with real-time safety checks.

Conclusion

Enabling streaming in Gen AI applications enhances user experience by reducing latency and ensuring safety through incremental and dynamic interaction flows. Developers can balance speed and safety using lightweight guardrails like NeMo Guardrails integrated with NVIDIA NIM microservices.