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Average Ratings 0 Ratings

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ease
features
design
support

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Description

NVIDIA NeMo Guardrails serves as an open-source toolkit aimed at improving the safety, security, and compliance of conversational applications powered by large language models. This toolkit empowers developers to establish, coordinate, and enforce various AI guardrails, thereby ensuring that interactions with generative AI remain precise, suitable, and relevant. Utilizing Colang, a dedicated language for crafting adaptable dialogue flows, it integrates effortlessly with renowned AI development frameworks such as LangChain and LlamaIndex. NeMo Guardrails provides a range of functionalities, including content safety measures, topic regulation, detection of personally identifiable information, enforcement of retrieval-augmented generation, and prevention of jailbreak scenarios. Furthermore, the newly launched NeMo Guardrails microservice streamlines rail orchestration, offering API-based interaction along with tools that facilitate improved management and maintenance of guardrails. This advancement signifies a critical step toward more responsible AI deployment in conversational contexts.

Description

Garak evaluates the potential failures of an LLM in undesirable ways, examining aspects such as hallucination, data leakage, prompt injection, misinformation, toxicity, jailbreaks, and various other vulnerabilities. This free tool is designed with an eagerness for development, continually seeking to enhance its functionalities for better application support. Operating as a command-line utility, Garak is compatible with both Linux and OSX systems; you can easily download it from PyPI and get started right away. The pip version of Garak receives regular updates, ensuring it remains current, while its specific dependencies recommend setting it up within its own Conda environment. To initiate a scan, Garak requires the model to be analyzed and, by default, will conduct all available probes on that model utilizing the suggested vulnerability detectors for each. During the scanning process, users will see a progress bar for every loaded probe, and upon completion, Garak will provide a detailed evaluation of each probe's findings across all detectors. This makes Garak not only a powerful tool for assessment but also a vital resource for researchers and developers aiming to enhance the safety and reliability of LLMs.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Cohere
Conda
Hugging Face
LangChain
Llama 3.1
LlamaIndex
NVIDIA NIM
OpenAI
Replicate

Integrations

Cohere
Conda
Hugging Face
LangChain
Llama 3.1
LlamaIndex
NVIDIA NIM
OpenAI
Replicate

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

NVIDIA

Founded

1993

Country

United States

Website

developer.nvidia.com/nemo-guardrails

Vendor Details

Company Name

garak

Website

github.com/leondz/garak/

Product Features

Product Features

Vulnerability Scanners

Asset Discovery
Black Box Scanning
Compliance Monitoring
Continuous Monitoring
Defect Tracking
Interactive Scanning
Logging and Reporting
Network Mapping
Perimeter Scanning
Risk Analysis
Threat Intelligence
Web Inspection

Alternatives

Alternatives

Vega Reviews

Vega

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