Why Crowdworks AI
LLM Requires Continuous Testing and Evaluation to Identify Risks
How We Work
Understand Your Model's Risks and Vulnerabilities
1
Derive insights from a comprehensive report of your model's current status
We test your LLM with company-specific prompts and provide a tailored report including reviews from general and expert evaluators.
Model Evaluation Process
Sample Result Report
2
Select expert evaluators with required industry domain knowledge
We select the most appropriate group of evaluators from our pool of 600K workers. We check the evaluators' preferences and biases ahead of the project.
Number of Crowdworks Worker Members Compared to Competitors
Workforce Composition of Company A’s Model Evaluation Report (Example)
3
Choose the best test and evaluation method for you
Hybrid Red-Teaming
We attack the model to check if it provides harmful or undesirable responses. We perform both automated attacks as well as human-driven attacks.
Hybrid Model Evaluation
We evaluate whether the LLM possesses the required capabilities to deliver the desired level of performance. We use both automated scoring and human scoring methods.
Why Crowdworks AI
Guarantee your model's quality with the experts
01
Leader for National AI Data Standardization
Our proposed standards for data labeling tasks and output data were established as the national standards in December 2021. We are also leading the international effort to standardize AI data-related process by participating in ISO/IEC JTC 1/SC 42 as the Global Directory.
02
Developer of the National Data Quality Management System
We've been recongized for our data quality and selected to lead the development of the national AI data quality management system and guidelines.