Here’s a look at what DALL·E 2 can do. ππ§΅π Want to see more? Follow along on Instagram: https://t.co/eKejIFxWdn
— OpenAI (@OpenAI) Apr 6, 2022
from Twitter https://twitter.com/OpenAI
April 06, 2022 at 07:36AM
via IFTTT
Here’s a look at what DALL·E 2 can do. ππ§΅π Want to see more? Follow along on Instagram: https://t.co/eKejIFxWdn
— OpenAI (@OpenAI) Apr 6, 2022
AutoML is all you need (@autogluon to be precise). Forget about XGBoost, your favorite Deep Net or Sesame Street: they're all used as components. Here's some proof when benchmarked on 92 datasets. These are numbers from the 0.4 release. https://t.co/q0fD4nWTme
— Alex Smola πΊπ¦ (@smolix) Apr 6, 2022
(2) The American engine for creating and enforcing the current thing has been running for 400 years. https://t.co/4HrtsMKLiS
— Marc Andreessen (@pmarca) Apr 5, 2022
Deep Learning has hit another wall. And apparently destroyed it. Large language models can now reason over arithmetic and jokes https://t.co/fErpH2TZcf
— Joscha Bach (@Plinz) Apr 5, 2022
Lord, give me the confidence of the researcher who fixes ML generalization bugs by 10x-ing the compute budget ... seriously, this is an amazing accomplishment. It takes incredible skill/intuition when to call this. Kudos to the PaLM team and @JeffDean 's long-term vision https://t.co/2cLaE7DviE
— Eric Jang (@ericjang11) Apr 4, 2022
"2021 was the year that AI went from an emerging technology to a mature technology—we're no longer dealing with a speculative part of scientific research, but instead something that has real-world impact," says @indexingai Co-Chair @jackclarkSF. https://t.co/UApSxiLWf8
— Stanford HAI (@StanfordHAI) Mar 30, 2022
Top 5 Austin restaurants this trip: Red Ash https://t.co/aF9EHssdeF Loro https://t.co/ZNuGUZ9EO9 Suerte https://t.co/AalwBRS8EI La Barbeque https://t.co/9pWKYpBEyf La Condesa. https://t.co/59mdyM5E7k https://t.co/gVCxvMHwVm
— Tren Griffin (@trengriffin) Mar 31, 2022