Andrew Dai did his PhD at Edinburgh before joining Google Brain in 2014 where he did research on language models, story generation and conversational agents and products including SmartReply. He moved to Google Health in 2017 to research deep learning for medical records. He then returned to continue research at Google Brain in 2020 and since then has co-led the development and training of LLMs including PaLM 2 and GLaM. Andrew also works on Google SGE modelling, Gemini and data research.
Catch me at these sessions
PaLM 2: A Smaller, Faster and More Capable LLM
DSML: ML Use Cases / Technologies
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