Applause's Generative AI Testing service is a comprehensive solution designed to help businesses develop, train, and test large language models (LLMs) and generative AI programs. Leveraging their global community of testers and extensive experience in AI data collection and testing, Applause offers a full-spectrum approach to ensure the quality, reliability, and safety of AI-powered applications

Key Features

Data Collection at Scale Applause provides access to a vast network of end users and devices worldwide for diverse data collection.

• Collects various types of data including text, images, audio, video, communications, and biometrics
• Gathers data from participants at home or in designated facilities

Model Training & Validation Optimizes LLM performance through prompt evaluation and real-world data.

• Fine-tunes systems for more natural, seamless Gen AI experiences
• Trains LLMs across multiple tasks using high-quality, diverse demonstration datasets
• Evaluates model responses against multiple dimensions such as accuracy, completeness, and context

Safety Evaluation & Red Teaming Assesses AI systems for accuracy, safety, and security risks.

• Manages trusted tester programs for overall performance assessment
• Employs red teaming to expose potential vulnerabilities and safety risks
• Assembles diverse teams to uncover issues and ensure defense against harmful AI outputs

Benefits

Comprehensive AI Quality Assurance Applause's solution covers every aspect of AI quality, ensuring reliable and trustworthy AI applications.

• Provides immediate access to necessary datasets, testers, and knowledge
• Customizes testing approaches to meet unique project objectives
• Delivers results at the speed and scale required by businesses

Real-World Testing and Diverse Input Leverages a global panel of real-world users for comprehensive testing and feedback.

• Ensures AI experiences are functional, intuitive, and inclusive in various environments
• Utilizes traditional QA strategies alongside user feedback surveys and prompt/output evaluation
• Tests for bias, inaccuracy, and other potential issues across diverse user groups

Expert UX Research and Testing Integrates deep UX expertise to drive customer loyalty and satisfaction.

• Manages strategy and execution of various UX studies and research methodologies
• Ensures AI-powered experiences are usable, useful, and enjoyable
• Conducts exploratory research, benchmarking studies, and inclusive design assessments