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TrainAI Launches GenAI Data Services to Enhance Ethical AI Development

TrainAI®, a division of RWS, has unveiled a comprehensive suite of AI data services aimed at assisting organizations in building ethical, accurate, and reliable generative AI (GenAI) applications.

TrainAI®, a division of RWS, has unveiled a comprehensive suite of AI data services aimed at assisting organizations in building ethical, accurate, and reliable generative AI (GenAI) applications. These services are designed to mitigate the risks of bias and hallucinations in GenAI innovations, marking a significant step forward in the pursuit of responsible AI development.

Closing the Resource Gap

“Developing and implementing GenAI requires vast volumes of training data, as well as significant time and human expertise to fine-tune them – resources that companies often don’t have readily available in-house,” commented Vasagi Kothandapani, President of Enterprise Services at RWS. “TrainAI’s suite of services is designed to fill this gap by providing the deep expertise required to prepare AI training and fine-tuning data in a responsible and ethical manner.”

Harnessing Community Expertise

The TrainAI GenAI service suite leverages the expertise of vetted, qualified, locale-specific domain experts from the TrainAI community. These experts contribute to prompt engineering, response refinement, fact verification, and red teaming, ensuring the integrity and reliability of GenAI applications.

Comprehensive GenAI Services

TrainAI’s GenAI services encompass various crucial aspects of AI development:

Domain expertise: Projects are assigned to a community of over 100,000 subject-matter experts with diverse educational backgrounds and industry experience.

Prompt engineering: Experienced professionals design and fine-tune prompts to align with safety and ethical standards, mitigating the risk of generating harmful outputs.

Reinforcement learning from human feedback (RLHF): Services such as response rating, fact extraction, and verification ensure that GenAI models provide relevant, reliable, and safe responses.

Red teaming and jailbreaking: Risk mitigation services intentionally create prompts to uncover potential vulnerabilities in GenAI models, enhancing their robustness and security.

Real-world Impact

TrainAI’s GenAI services have already made a significant impact on the world’s largest organizations. A US multinational technology conglomerate collaborated with TrainAI to fine-tune its open-source large language model (LLM) using content prepared by domain experts from the TrainAI community. Over 200 domain experts completed over 32,000 hours of work within three months, enabling the successful launch of the latest version of the LLM.

Addressing AI Challenges

Melanie Peterson, Programme Director at TrainAI, highlights the importance of ethical AI development: “Most problems with AI, such as hallucinations and biased results, result from the lack of explainability of many opaque methodologies. The responsible, rigorous, and ethical approach to AI development we build through Genuine Intelligence provides far more solid AI foundations.”

About TrainAI

TrainAI, a division of RWS, is dedicated to advancing ethical AI development through its comprehensive suite of GenAI data services. Leveraging community expertise and cutting-edge technology, TrainAI empowers organizations to build reliable and trustworthy AI applications for the future.

Anshika Mathews
Anshika Mathews
Anshika is an Associate Research Analyst working for the AIM Leaders Council. She holds a keen interest in technology and related policy-making and its impact on society. She can be reached at
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