Popular GitHub Repositories for Nemo Guardrails

Adding guardrails to large language models.

The AI framework that adds the engineering to prompt engineering (Python/TS/Ruby/Java/C#/Rust/Go compatible)

Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.

Open source platform for AI Engineering: OpenTelemetry-native LLM Observability, GPU Monitoring, Guardrails, Evaluations, Prompt Management, Vault, Playground. ?? Integrates with 50+ LLM Providers, VectorDBs, Agent Frameworks and GPUs.

Agentic LLM Vulnerability Scanner / AI red teaming kit ?

Building blocks for rapid development of GenAI applications

⚕️GenAI powered multi-agentic medical diagnostics and healthcare research assistance chatbot. ? Designed for healthcare professionals, researchers and patients.

PAIG (Pronounced similar to paige or payj) is an open-source project designed to protect Generative AI (GenAI) applications by ensuring security, safety, and observability.

The fastest && easiest LLM security guardrails for CX AI Agents and applications.

Real-time guardrail that shows token spend & kills runaway LLM/agent loops.

ChatGPT API Usage using LangChain, LlamaIndex, Guardrails, AutoGPT and more

Ultra-fast, low latency LLM prompt injection/jailbreak detection ??

Framework for LLM evaluation, guardrails and security

This repository is an AI Bootcamp material that consist of a workflow for LLM

Experiments to test different speech recognition systems for SEPIA Framework

Speech synthesis (TTS) in low-resource languages by training from scratch with Fastpitch and fine-tuning with HifiGan

Make AI work for Everyone - Monitoring and governing for your AI/ML

First-of-its-kind AI benchmark for evaluating the protection capabilities of large language model (LLM) guard systems (guardrails and safeguards)

Verifying the identity of a person from characteristics of the voice independent from language via NVIDIA NeMo models (ECAPA-TDNN, SpeakerNet, TitaNet-L).

A PyTorch demo of the paper Voice Separation with an Unknown Number of Multiple Speakers using gradio and Nvidia NEMO ASR model.