Boosting AI Accuracy: Mindy Support Powers Multilingual LLM Training for a Global Ridesharing Leader

Data Generation, Natural Language Processing

The project aimed to create a unique and comprehensive set of question-answer pairs to train an advanced artificial intelligence system. The task involved generating questions and providing accurate answers in adherence to specific criteria, ensuring the training data’s quality and relevance. The project required handling diverse languages, including Spanish (Mexico), Russian, Portuguese (Brazil), Marathi, Japanese, Hindi, English (US), Dutch, and Arabic.

The client was looking to increase the accuracy of their AI system and needed to generate questions along with accurate answers that followed precise evaluative standards for maintaining the quality and reliability of training information. The project demanded careful processing of datasets in twelve languages to fulfill its goals. The languages involved Spanish (Mexico), Russian, Portuguese (Brazil), Marathi, Japanese, Hindi, English (US), Dutch and Arabic. Due to the demanding nature of linguistic context accuracy and nuanced meaning the client needed professionals who could maintain consistency across all the languages while following established standards. This demanding method provided essential training for the AI system to achieve effective response capabilities across various languages.

The client selected Mindy Support because our company is one of largest LLM and data annotation providers in Europe capable of managing extensive LLM dataset preparation  activities. Our large team of skilled annotators demonstrated the ability to create sufficient amounts of accurate multi-lingual questions and answers for projects in the past, without any loss of quality and consistency standards being met. With a proven track record in managing complex multilingual data annotation tasks, we provided our past clients with the scalability and efficiency needed to meet their project deadlines while ensuring strict adherence to their quality standards.

To provide the needed level of accuracy, we set up dedicated teams who were fluent or native speakers in each target language. A team consisting of experts who had both linguistic and cultural knowledge created high-quality questions and answers that kept to contextual accuracy. This combination of expert knowledge provided content compliance with the client’s requirements which boosted the AI system’s performance across multiple languages.  

We also provided extensive quality control procedures through managers who were language specialists with educational backgrounds and extensive copywriting experience. The precise methodology established that the produced content fulfilled the most demanding guidelines of linguistic and contextual quality. By following strategic planning and execution, our consistent quality control measures allowed us to achieve results that surpassed client expectations regarding speed and accuracy levels. We delivered high-quality multilingual data to the client for three months through efficient project management that respected strict deadlines.

• The project successfully met its goals, providing a comprehensive set of high-quality question-answer pairs in multiple languages. The dynamic multicultural team and robust quality assurance procedures ensured the content’s accuracy and relevance, meeting the client’s criteria and expectations.
• 1000+ questions and answers generated
• 99%+ quality rating