This month, an artificial intelligence researcher who previously worked at Google Brain teaches a graduate class in quantitative biomedicine about the latest developments in the field.
Jason Wei ’20, now a researcher at OpenAI, and his former colleague at Google Research, Hyung Won Chung, are presenting from May 18th to May 25th the state-of-the-art large-scale language model enhancements. A total of three lectures will be given on Chatbots and generative AI applications. AI systems are trained to process and understand human language.
Wei’s first lecture focused on his research area at Google, Transformers, a deep learning architecture that underpins large-scale language models. Transformers identify relationships between words in sentences regardless of the distance between them. In recent years, we have revolutionized natural language processing, enabling AI models to understand and generate text, accurately translate it, and answer questions in a conversational way.
“My hope is for students to understand the motivation behind the success of language models and to understand future trends. I hope you can feel it,” says Wei.
A graduate course taught by Saeed Hassanpur, Associate Professor of Biomedical Data Science, Computer Science, and Epidemiology, Machine Learning teaches students to apply machine learning techniques to solve complex real-world problems in areas such as: Designed to help you gain hands-on experience using it. biomedical field.
“The future of AI in healthcare is promising and exciting. There are new developments and breakthroughs almost every day,” says Hassanpur, noting the latest techniques and innovations being used to train language models. I am passionate about introducing my students to this approach.
Soroush Vosoughi, Assistant Professor of Computer Science, mentored Wei as an undergraduate at Dartmouth College and collaborated on research projects. Wei is passionate about teaching and passionate about connecting with the Dartmouth community, Vossoghi said.
“For students, it’s very exciting to learn from someone who is in the middle of things,” he says.
