In the Media

In the digital age, traditional public services face significant challenges, including inefficiency and outdated information. Large language models (LLMs), while impressive, struggle with "hallucinations" (generating fluent but incorrect responses) and a lack of domain-specific data, making them inadequate for high-accuracy demands. To address these issues, the Retrieval-Augmented Generation (RAG) framework has emerged as a transformative solution, offering greater accuracy and efficiency.

Prof. Shipeng Yan and Ms. Runjia Zhang used Tencent’s “AI Corpus for good” and Ant Group’s “Blue Vest social good campaign” as case studies for top digital companies' practices in helping the elderly. They advocate for digital companies to understand the needs of the elderly through social cooperation and emphasize the importance of understanding their psychological characteristics to design products with emotional connection. At the same time, through education and social services, improve their digital literacy and awareness of fraud prevention. Let our seniors enjoy the convenience brought by technology safely and confidently!