Test and Evaluation, Improving the Safety of Large Language Models (LLMs)

We provide continuous evaluation and testing of Large Language Models (LLMs) to identify risks, ensure operational safety, and certify AI applications. By combining our expertise in data labeling with advanced testing methodologies and quality control measures, we enable our clients to achieve higher levels of security and performance in their AI models.

Continuous Evaluation and Monitoring

Continuous Evaluation and Monitoring

Our approach includes ongoing assessments that monitor the performance and behavior of LLMs for maintaining the integrity and utility of AI models long-term.

Red Teaming for Mitigating Risks

Sapien employs a hybrid red teaming method that blends automated attack simulations with expert human insights to detect potential severe vulnerabilities and undesirable behaviors.

AI System Certification

We are preparing to introduce certifications that attest to the safety and capability of AI applications according to the latest standards. This service will provide our clients with a credible assurance of their AI solutions' reliability and safety.

LLM Risks We Solve

Hallucinations

Preventing AI from generating false or nonexistent information

Misinformation

Addressing the spread of incorrect or misleading information

Unqualified Advice

Mitigating the risks of advice on critical topics which could cause harm

Bias

Eliminating biases that perpetuate stereotypes and cause harm to specific groups

Privacy Concerns

Safeguarding against the disclosure of personal information

Cyber Threats

Protecting AI systems from being exploited in cyberattacks

Expertise in Red Teaming and LLM Evaluation

Our team consists of highly skilled professionals in security, technical domains, national defense, and creative fields, all equipped to undertake sophisticated evaluations. With expertise drawn from multiple distinct domains, Sapien’s red teamers are qualified to scrutinize and improve the safety of your AI models.

Strengthening AI with Expert Human Feedback

At Sapien, we believe that human insight is invaluable in fine-tuning AI models. Our data labeling services are designed to provide high-quality training data that reflects real-world complexities and nuances, enabling AI applications to perform with high accuracy and adaptability.

See How our Data Labeling Works

Discover how Sapien can assist in building a scalable and secure data pipeline for your AI models with testing and evaluation services.

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