How do I test my Gen AI system? Introducing ARTKIT

[seanggani]

We’ve all heard about the transformative impact of GenAI, from accelerating product development for engineers to helping consumers find the perfect skincare products. The possibilities are endless. However, with the excitement surrounding GenAI, it’s crucial to ensure that these products are built safely and securely. How can we rigorously test our chatbots to prevent them from giving offensive or incorrect responses to users? This is where ARTKIT comes in.

ARTKIT is an open-source Python framework built by BCG X to revolutionize the way we develop and test GenAI applications like large language models (LLMs). Automated Red Teaming evaluates LLMs using LLMs, and ARTKIT provides a small set of simple yet powerful APIs to build a testing pipeline for virtually any GenAI system. Moreover, ARTKIT can save valuable time and money when testing your GenAI application because it has caching logic to minimize redundant API calls during the development of GenAI testing and evaluation pipelines.

You can use ARTKIT for:

• Persona Simulation: Define diverse personas to simulate varied user interactions with your system. This will help tailor your solutions to meet different user needs more effectively.
• Golden Dataset Creation: Generate a Q&A dataset from essential ground truth documents. Use this dataset to craft robust prompts that simulate varied input scenarios, enhancing our system’s adaptability.
• LLM Evaluation: Use large language models (LLMs) to assess chatbot responses against critical metrics like offensiveness, accuracy, and proficiency. This will ensure your outputs meet the highest standards of quality and relevance.
• Defense Testing: Implement multi-turn attacks to test the resilience of our systems. This will help identify and strengthen any vulnerabilities in maintaining the integrity of system prompts.

To learn more, check out our docs here and don’t forget to star our github repo!