Products
Solutions
Retail & eCommerce
Defense
Logistics
Autonomous Vehicles
Robotics
AR/VR
Content & Language
Smart Port Lab
Federal LLMs
Resources
Company
Customers
See all customers
Test & Evaluate
What is Large Language Model Test & Evaluation?
Continuous Evaluation
Continuously evaluate and monitor the performance of your AI systems.
Red Teaming
Identify severe risks and vulnerabilities for AI systems.
AI System Certification
Forthcoming certifications of AI applications for safety and capability against the latest standards.
Get Early Access
Understand LLM Capabilities, Risks, and Vulnerabilities
Approach
Our Approach to Hybrid Test & Evaluation
Hybrid Red Teaming
Red teaming seeks to elicit undesirable model behavior as a way to assess safety and vulnerabilities. The most effective red teaming pairs automated attack techniques with human experts across a diverse threat surface area.
Hybrid Model Evaluation
Continuous model evaluation is critical for assessing model capability and helpfulness over time. A scalable hybrid approach to evaluation leverages LLM-based evaluation combined with human insights where they are most valuable.
Ecosystem
An holistic and effective approach to model test and evaluation requires participation and coordination from a broad ecosystem of institutional stakeholders.
Risks
Key Identifiable Risks of LLMs
Misinformation
LLMs producing false, misleading, or inaccurate information.
Unqualified Advice
Advice on sensitive topics (i.e. medical, legal, financial) that may result in material harm to the user.
Bias
Responses that reinforce and perpetuate stereotypes that harm specific groups.
Privacy
Disclosing personally identifiable information (PII) or leaking private data.
Cyberattacks
A malicious actor using a language model to conduct or accelerate a cyberattack.
Dangerous Substances
Assisting bad actors in acquiring or creating dangerous substances or items(e.g. bioweapons, bombs).
Experts
Expert Red Teamers
Red Team
Experienced Security & Red Teaming Professionals.
Technical
Coding, STEM, and PhD Experts Across 25+ Other Domains.
Defense
Specialized National Security Expertise.
Creatives
Native English Fluency.
Trusted
Trusted by Federal Agencies and World Class Companies
“Automated systems should be developed with consultation from diverse communities, stakeholders, and domain experts to identify concerns, risks, and potential impacts of the system. Systems should undergo pre-deployment testing, risk identification and mitigation, and ongoing monitoring that demonstrate they are safe and effective based on their intended use, mitigation of unsafe outcomes including those beyond the intended use, and adherence to domain-specific standards.”
Blueprint for an AI Bill of Rights
Office of Science and Technology Policy, White House
“Robust red-teaming is essential for building successful products, ensuring public confidence in AI, and guarding against significant national security threats. Model safety and capability evaluations, including red teaming, are an open area of scientific inquiry, and more work remains to be done.”
Moving AI governance forward
OpenAI
Trusted by the world’s most ambitious AI teams.Meet our customers →
RESOURCES
Learn More About Our LLM Capabilities
Test & Evaluation Whitepaper
Our technical white paper on how to test and evaluate LLMs.
Test and Evaluation Vision
Building Trust in AI: Our vision for the testing and evaluation of AI.
Meta Llama 2 Launch Partner
Scale is proud to be a Meta Llama 2 launch partner.
OpenAI Process Supervision
Scale built PRM800K to improve mathematical reasoning with process supervision.
OpenAI's InstructGPT
Scale worked with OpenAI to build InstructGPT using the Scale Data Engine.
Customer Case Study: Cohere
Cohere enhances its Command model with Scale Data Engine.
