AI Trailblazer: A conversation with Yi Tay, former research scientist at Google Brain Concluded

About this event

Get to know the AI trailblazer from Google Brain who’s now racing against OpenAI.

Meet Yi Tay, former research scientist at Google Brain and Singaporean co-founder and chief scientist at Reka responsible for state-of-the-art generative models and a pioneer in advancing AI research. 

Hear firsthand about the development of the Transformer model and the growing adoption of generative AI technologies. We’ll also look ahead to the future of AI, exploring potential breakthroughs in LLMs, the rise of intelligent agents, and other unforeseen advancements.

Tech in Asia’s subscribers meetup is happening on June 13 at Mandala Club. Limited seats are up for grabs – secure yours now!

Agenda

• 6:00 p.m: Doors open & registration begins
• 6:30 p.m: Fireside chat with Yi Tay. Moderated by Terence Lee, editor-in-chief of Tech in Asia
• 7:30 p.m: Networking session
• 8:00 p.m: End of event

How to RSVP

• This event is complimentary for Tech in Asia Core subscribers. Simply click on the RSVP button to register!
• Non-subscribers can attend this networking event at US$59 – the first drink is on us!

About Yi Tay, co-founder and chief scientist at Reka

Yi Tay currently serves as the co-founder and chief scientist at Reka. In this role, they focus on building cutting-edge generative models and propelling advancements within the field of AI research.

Prior to co-founding Reka, Yi Tay held the position of senior research scientist at Google Brain, where they contributed to the development of large language models and artificial intelligence. Before joining the Brain team, Yi Tay served as the Tech Lead for a US-based research group at Google Research, specializing in Transformer scaling and architectures. During this tenure, they also played a role in approximately 20 product launches.

Yi Tay’s time at Google was marked by significant contributions to industry-defining large language models, including PaLM, UL2, Flan-{PaLM/UL2/T5}, LaMDA/Bard, MUM, and more. They further expanded their expertise into large multimodal models such as ViT-22B and PaLI-X. Notably, Yi Tay co-led the modeling efforts for the novel PaLM-2 and PaLM API.