Trieu H. Trinh

@thtrieu_

Resident 2017-2019

Mountain View
github.com/thtrieu
Vrijeme pridruživanja: travanj 2014.

Medijski sadržaj

  1. 15. velj 2019.

    As also observed by OpenAI's GPT-2, training data quality is important. We release the STORIES corpus introduced in our work . The corpus is a high quality subset of CommonCrawl with a total of ~7B words (~32GB) can be found here:

    51 proslijeđeni tweet 192 korisnika označavaju da im se sviđa
  2. 9. velj 2019.

    Want to see space-time contract/dilation? This series on Special Relativity (SR) is beautiful. The author squashed space-time to 2D, explained the two postulates by geometric intuition and run a simulator on top of it. It is the 3blue1brown of SR!

    5 korisnika označava da im se sviđa
  3. 6. ruj 2018.

    Inspiring talk! via

    4 korisnika označavaju da im se sviđa
  4. 11. lip 2018.

    We show large language models trained on massive text corpora (LM1b, CommonCrawl, Gutenberg) can be used for commonsense reasoning and obtain SOTA on Winograd Schema Challenge. Paper at , results reproducible at

    6 replies 101 proslijeđeni tweet 321 korisnik označava da mu se sviđa
  5. 29. tra 2018.

    I'll be presenting my work on Wednesday. Come and have a chat :)

    2 proslijeđena tweeta 19 korisnika označava da im se sviđa

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