• Home
  • Technology
  • Gaming
  • Entertainment
  • World & Business
  • Science
  • Sports
  • AI
HomeTechnologyGamingEntertainmentWorld & BusinessScienceSportsAI
  • HomeTechnologyGamingEntertainmentWorld & BusinessScienceSportsAI
    • Home
    • Technology
    • Gaming
    • Entertainment
    • World & Business
    • Science
    • Sports
    • AI
    AI

    Researcher Shares Paper on Token Order Prediction

    Thread by ML researcher @prompt_Tunes discusses paper on transformer training objectives.

    AN
    1 Source, 32d ago, first seen 32d ago

    TLDR

    ML researcher Andy posted a paper reading thread from his account @prompt_Tunes while working at @rumik_ai. The post states the paper suggests exact MTP may be too hard as an auxiliary loss. Instead it proposes predicting the order of upcoming tokens works better. The thread includes a photo link and covers training objectives for transformer models. Andy noted the paper had been on his reading list for some time before he reviewed it.

    Combined views

    6.5K

    1 Source, first seen 32d ago

    Combined views

    6.5K

    1 Source, first seen 32d ago

    111 likes
    111 likes
    3 comments
    80 saves
    19 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

    3 comments
    80 saves
    19 reposts
    Today's Rank

    —

    Not ranked yet

    Today's Rank

    —

    Not ranked yet

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

    1 Source

    @prompt_Tunespaper reading thread. this one has been on my list for quite a while, finally got the time to give it a read! this paper suggests that maybe exact MTP is too hard as an auxiliary loss. instead predicting the order of the upcoming tokens works better.

    1 Source

    @prompt_Tunespaper reading thread. this one has been on my list for quite a while, finally got the time to give it a read! this paper suggests that maybe exact MTP is too hard as an auxiliary loss. instead predicting the order of the upcoming tokens works better.