Xiangrui Meng

Jan 4, 2024 | nature.com | Xiangrui Meng |Daniel F Levey |Dora Koller |Mark Adams |Miguel E. Rentería |Dan Stein | +42 more

AbstractMost genome-wide association studies (GWAS) of major depression (MD) have been conducted in samples of European ancestry. Here we report a multi-ancestry GWAS of MD, adding data from 21 cohorts with 88,316 MD cases and 902,757 controls to previously reported data. This analysis used a range of measures to define MD and included samples of African (36% of effective sample size), East Asian (26%) and South Asian (6%) ancestry and Hispanic/Latin American participants (32%).

Jul 18, 2023 | databricks.com | Xiangrui Meng |Patrick Wendell |Prem Prakash

by Xiangrui Meng, Patrick Wendell, Prem Prakash, Lu Wang and Ankit MathurJuly 18, 2023 in Platform BlogToday, Meta released their latest state-of-the-art large language model (LLM) Llama 2 to open source for commercial use1. This is a significant development for open source AI and it has been exciting to be working with Meta as a launch partner. We were able to try Llama 2 models in advance and have been impressed with it’s capabilities and all the possible applications.