Case Study: TIGEREYE accelerates Japanese conversational AI development with Alibaba Cloud

Tigereye boosts voice cloning learning time by 25% with Alibaba Cloud

Tigereye, Inc., a company developing a multimodal AI platform for the Japanese market, faced a significant challenge in providing accurate Japanese language support. This included the need for unique prompt rule design and LoRA fine-tuning to handle the complexities of the language. They chose Alibaba Cloud for its processing power to run large language models and its reliable support system.

By leveraging Alibaba Cloud's high-performance capabilities and close technical support, Tigereye calibrated the Qwen model. This solution resulted in a 25% reduction in voice cloning learning time, a 12% improvement in form classification accuracy, and an over 87% dialogue success rate for their Office Agent in internal business support scenarios.

Tigereye, Inc