‹ BackHN Continuity

Thread

Transformers Explained Visually

663 points · 92 comments · aray07

  1. E-Reverance · · focus · HN ↗
    I get that this is for explaining GPT-2, but I really hope laymen don't use it as an example of how modern models work (ex. absolute positional encoding is no longer used)

    edit: I know that it mentions its not modern, but these kinds of details have major implications in terms of the representations a model can learn, which is in many ways the most important part!

    1. [deleted] · · focus · HN ↗

      [deleted]

Open on Hacker News to reply ↗

Unofficial Hacker News client; not affiliated with Y Combinator.