Zhen (Tony) Zhao
Tony has a broad background in the automotive and tech industries , with a focus on deep learning, particularly within the natural language processing domain. He has worked extensively on training language models, orchestrating GenAI ecosystems, and developing tools for LLM evaluation, decision-making, and hallucination mitigation. His experience ranges from hardware testing with LiDARs on autonomous vehicles to object recognition using computer vision and generative AI applications.
Sessions
Providing timely maternal healthcare in developing countries is a critical challenge. This talk demonstrates how data-driven solutions can bridge healthcare gaps and improve access to vital healthcare information for pregnant women, with user privacy in mind. To do so, we fine-tuned the Gemma-2 2 billion parameter instruction model on a synthetic dataset in order to detect whether user messages pertain to urgent or non-urgent maternal healthcare issues. By quickly identifying and prioritizing user inquiries, the model can aid help desks by ensuring urgent messages are promptly forwarded to the appropriate healthcare professionals for immediate intervention.