Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Patronus AI serves as an advanced platform dedicated to the automated evaluation, security, and optimization of large language model applications and agentic systems. By providing tools that enable teams to deploy AI products efficiently at scale, it facilitates the generation of test suites, execution of experiments, logging of traces, output comparisons, monitoring of production interactions, and real-time assessment of model performance. The platform is equipped with top-tier evaluators that address various concerns, including RAG hallucinations, context integrity, image relevance, accuracy of answers, prompt vulnerabilities, data privacy risks, toxicity, bias, and other critical safety and reliability issues. Additionally, Patronus Evaluators can assign scores to AI outputs based on specific criteria, and teams have the flexibility to design custom evaluators tailored to their unique use cases. The platform integrates a comprehensive suite of features such as dashboards, APIs, ready-to-use evaluations, logs, traces, side-by-side output comparisons, visual analytics, and real-time alert systems, which collectively empower teams to identify errors, benchmark their models, refine prompts, and gain insights into system behavior over time. Ultimately, this holistic approach enhances the overall effectiveness and reliability of AI deployments in various applications.
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
Integrations
Cohere
Conda
Hugging Face
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
Patronus AI
Founded
2023
Country
United States
Website
www.patronus.ai/
Vendor Details
Company Name
garak
Website
github.com/leondz/garak/
Product Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
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
No Alternatives