Identify vulnerabilities, biases, and harmful outputs of large language models through adversarial testing, robustness checks, scenario simulations, and safety assessments.
iMerit’s Ango Hub provides workflow automation, purpose-built prompt & response tooling and human-in-the-loop domain experts to build robust data pipelines for fine tuning your LLM. Domain experts provide the human feedback needed to produce high-quality data, while the platform applies automation to every step process to ensure efficiency and scale.
"iMerit red teaming integrated new data into our RAG chatbot at 72% reduced cost."
Principal Product Manager
Conversational AI company needed training data to improve the safety and reliability of their large language model relative to specific regions, languages, and cultures.
CHALLENGE: Create an LLM chatbot platform and service to accommodate multiple languages such as English, Hindi, and Bengali to increase LLM accessibility, functionality, and safety.
OUTCOMES:
Utilize reinforcement learning from human feedback with iMerit domain experts to fine-tune and improve model performance
Enhance data corpus by adding diverse, high-quality, and contextually relevant data to improve model accuracy, robustness, and performance.
Improve the precision of your large language model by creating a diverse set of prompts and response pairing.
The need for generative AI training data services has never been greater. iMerit combines the best of predictive and automated technology with world-class subject matter expertise to deliver the data you need to get to production, fast.
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