My first startup experience at Discovery Loop: building from scratch and learning so much.
Google’s stack is great for general use; specialized workloads call for different choices.
Excited to explore great infra pieces and build something even better!
Last week, I left Google DeepMind after 10 years at Google.
My journey: manual model tuning → AutoML → RSI. Each a step up.
I see RSI as ML’s final problem. I am excited to join Discovery Loop to tackle it with an extraordinary team!
Looking for a deep dive into AutoML Tables? Look no further than this lively session with Tin-Yun Ho and Da Huang from #KaggleDaysTokyo [WATCH] https://t.co/soP1qhXKks
New paper: Towards a Human-like Open-Domain Chatbot. Key takeaways:
1. "Perplexity is all a chatbot needs" ;)
2. We're getting closer to a high-quality chatbot that can chat about anything
Paper: https://t.co/r09PQ9ldea
Blog: https://t.co/QgDnNJ2XiP
Interested in applying machine learning to tabular data? Check out our work on an end-to-end AutoML solution, making ML scalable and accessible for both research and industry applications, and see how it performed in the recent @Kaggle_Days challenge! https://t.co/aTgWUThVhv