Menu
Abstract:
Over the past year, OpenAI’s ChatGPT and numerous models from the open-source community (such as LLaMA 3), have significantly advanced the development of artificial intelligence applications. The proprietary nature of ChatGPT and domestic restrictions have affected the use of it by domestic users, and the prohibition on the sale of high-end GPU chips has also increased the technological gap. In healthcare, both proprietary and open-source models have great potential, but there is still “a final mile to go” before they can solve real-world problems.
In this speech, it will introduce the medical LLM HuatuoGPT, Arabic LLM AceGPT, and the most recent multimodal large models that our team has developed in succession. These practices have mainly focused on adapting language models to the Chinese medical field, especially in multimodal scenarios. Additionally, we will also look forward to the future development direction of large models.
Time:
Apr 25, 2024 Thursday
11:00-11:50 AM
Location:
Rm W1-101, GZ Campus
Online Zoom
Join Zoom at: https://hkust-gz-edu-cn.zoom.us/j/4236852791 OR 423 685 2791
Speaker Bio:
Benyou Wang
Benyou Wang is an Assistant Professor at the School of Data Science of The Chinese University of Hong Kong, Shenzhen, as well as a research scientist at the Shenzhen Research Institute of Big Data. To date, he has received the SIGIR 2017 Best Paper Nomination Award, the NAACL 2019 Best Explainable NLP Paper, the NLPCC 2022 Best Paper, and the Huawei Spark Award. He also served as the Publicity Chair for NLPCC 2023 and the Website Chair for EMNLP 2023. The large models developed by his leading research team include the medical health vertical field large model Huatuo GPT and the Arabic large language model AceGPT.