Patronus AI
UnclaimedSimulating the world's intelligence to build, evaluate, and optimize AI models and agents.
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TL;DR - Patronus AI
- Provides a platform for simulating and evaluating AI models and agents.
- Offers specialized evaluation models for hallucination detection and general LLM scoring.
- Enables continuous monitoring, optimization, and deployment of LLM applications.
Pricing: Free plan available
Best for: Growing teams
Pros & Cons
Pros
- Research-backed approach with real-world inspired simulations.
- Comprehensive suite for end-to-end LLM and agent evaluation and optimization.
- Specialized models like Lynx and Glider offer state-of-the-art performance in their respective areas.
- Provides high-quality, curated datasets for specific industry and safety testing.
- Offers tools for explainable evaluation and fine-grained rubric-based scoring.
Cons
- Specific pricing details are not publicly available.
- Requires technical expertise to fully leverage advanced simulation and evaluation capabilities.
Key Features
Generative Simulators for adaptive environmentsRL Environments for domain-specific agent training and evaluationPatronus Evaluators for RAG hallucinations, image relevance, and context qualityPatronus Experiments for AI product performance optimizationPatronus Datasets for adversarial testing, including FinanceBench and SimpleSafetyTestsPatronus Logs for capturing evaluations, natural language explanations, and failuresPatronus Comparisons for benchmarking LLMs, RAG systems, and agentsPatronus Traces for detecting agent failures and generating summaries
Pricing Plans
Individual
Free/Month
- 20 pages
- 5 pages
Base
$25/Month
- 600 pages
- Pages Add-ons on Demand
- 50 pages
Enterprise
Contact us for Pricing
- Unlimited Pages
- Pages Add-ons on Demand
- Unlimited Pages
- Pages Add-ons on Demand
Developer
Get started
- No credit card required.
- Patronus Experiments Access to last 2 weeks
- 2 Projects
- 5 Experiments per Project
- Patronus Logs Access to last 2 weeks
- Patronus Traces Access to last 2 weeks
- Patronus Comparisons Unlimited
- Patronus Datasets Unlimited
- Patronus API (optional) Get started with $10 in free credits!
- $10/ 1k small evaluator API calls
- $20/ 1k large evaluator API calls
- $10/ 1k eval explanations
Enterprise
Book a call
- Everything Unlimited
- Security On-prem / dedicated VPC, custom data retention, SSO.
- Premium Platform Features Patronus Evaluation Runs, webhooks.
- Premium API Features Higher rate limits, volume discounts, more stability.
- AI Services Custom eval model fine tuning, eval dataset generation.
About Patronus AI
By Toolradar Team·
Patronus AI provides a comprehensive suite of tools and platforms for evaluating, optimizing, and deploying large language models (LLMs) and AI agents. It focuses on creating adaptive simulation environments that allow frontier models to learn effectively by co-generating tasks, world dynamics, and reward functions. This approach helps in scaling high-quality environment creation and constitutes foundational infrastructure for online, self-adaptive world modeling.
The platform is designed for AI researchers, developers, and enterprises looking to confidently deploy LLM applications at scale. It offers solutions for novel test suite generation, real-time LLM evaluation, and continuous monitoring of AI product performance. Key offerings include specialized evaluation models like Lynx for hallucination detection and Glider for general-purpose LLM scoring, along with tools for experiment management, dataset creation, and agent trace analysis. Patronus AI aims to push the boundaries of AI development by providing robust evaluation and simulation capabilities.
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Patronus AI FAQ
How does Patronus AI's Generative Simulator differ from traditional AI testing environments?
The Generative Simulator adaptively co-generates tasks, world dynamics, and reward functions, creating a 'Goldilocks Zone' for frontier models to learn effectively. This dynamic approach allows for emergent behaviors and scales high-quality environment creation, unlike static testing environments.
What specific types of failure modes can Percival detect in agentic systems?
Percival is an eval copilot designed to detect over 20 specific failure modes within agentic traces. It analyzes these traces, identifies issues, and suggests optimizations for reasoning and planning errors in AI agents.
Can Patronus AI's evaluation models be used for multimodal AI systems?
Yes, the platform includes capabilities like LLM-as-a-Judge, which enables developers to score multimodal AI systems, specifically for image-to-text evaluations.
How does Lynx compare to other leading LLMs in hallucination detection?
Lynx is a state-of-the-art hallucination detection model that has demonstrated superior accuracy compared to other LLMs, including GPT-4 and Claude-3.5 Sonnet, on hallucination tasks, particularly for RAG systems.
What kind of data is included in the FinanceBench dataset, and what is its primary purpose?
FinanceBench is an industry-first benchmark dataset comprising 10,000 high-quality Q&A pairs based on publicly available financial documents such as SEC 10Ks, 10Qs, 8Ks, earnings reports, and call transcripts. Its primary purpose is to evaluate LLM performance on complex financial questions.
Does Patronus AI offer any tools for evaluating long-term memory in AI agents?
Yes, Patronus AI provides MemTrack, which is a benchmark specifically designed to evaluate long-term memory and state tracking capabilities in multi-platform agent environments.
Source: patronus.ai