Evaluation Challenges
The State of Evaluations
Today is Limiting AI Progress
Absence of reliable, high-quality evaluation datasets (that haven't been overfitted).
Inadequate product tooling to comprehend and refine assessment outcomes.
Model comparisons are inconsistent, and reporting is not reliable.
why refonte.ai
Reliable and Robust
Performance Management
Refonte.Ai Evaluation offers thorough dissections of LLMs across all aspects of performance and safety, allowing frontier model creators to comprehend, evaluate, and refine their models.
Proprietary Evaluation Sets
Accurate model evaluations without overfitting are ensured by high-quality evaluation sets spanning capabilities.
Rater Quality
Reliable ratings are produced by skilled human raters and supported by clear metrics and quality control systems.
Product Experience
Analyzing and reporting on model performance across domains, capabilities, and versioning is made easy with an intuitive interface.
Targeted Evaluations
Personalized assessment sets concentrate on certain model issues, allowing for precise improvements through fresh training data.
Reporting Consistency
Facilitates uniform model assessments to ensure accurate side-by-side comparisons between models.
risks
Key Identifiable Risks of LLMs
Multiple categories of vulnerabilities can be found by our platform.
Misinformation
LLMs generating information that is erroneous, deceptive, or false.
Unqualified Advice
Counsel on delicate subjects (e.g., health, law, finances) that could do the user substantial harm.
Bias
Reactions that hurt certain populations by supporting and maintaining stereotypes.
Privacy
Exposing sensitive data or divulging personally identifiable information (PIl).
Cyberattacks
A cybercriminal employing a linguistic model to launch or expedite a hack.
Dangerous Substances
Helping criminals get or produce hazardous materials or objects (such as bombs and bioweapons).
experts
Expert Red Teamers
To conduct the LLM review and use red teaming to find risks, Refonte.Ai has a wide network of specialists at its disposal.
Red Team Staff
State-of-the-art red teaming at Refonte.Ai is made possible by thousands of red team members trained in cutting-edge methods and by internal prompt engineers.
Content Libraries
Vast libraries and taxonomies of strategies and damages guarantee a wide range of exposure points.
Adversarial Datasets
Model vulnerability scans are carried out systematically using proprietary adversarial prompt sets.
Product Experience
Top firms chose Refonte.Ai's Red Teaming Product to evaluate models from top AI developers in public.
Model-Assisted Research
Model-assisted approaches will be made possible by research undertaken by the Refonte.Ai's Safety, Evaluations, and Analysis Lab (SEAL)
trusted
Resources
We've worked with the world's leading AI teams for years, and delivered more high-quality data than anybody else.
Webinar
Blueprint to AI
Blog
Feature announcement blog
Blog
OpenAI GPT-3.5 Fine-Tuning Partnership
