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204 results for “adhami”

  1. Footage, μια απ τις καλύτερες και χρησιμότερες εφαρμογές σε Linux για γρήγορο κόψιμο, συμπίεση και αλλαγή format σε videos

    #KafeTips #Footage #Linux

    gitlab.com/adhami3310/Footage

    flathub.org/en/apps/io.gitlab.

  2. #Impression: A straight-forward and modern application to create bootable drives. 👇👌
    (I tested it and indeed, it gets the job done quickly and easily)

    gitlab.com/adhami3310/Impressi

    #software #usbboot #opensource

  3. in latest version (3.6.0) of , it will ask you where to save the ISO instead of saving it in the cache

  4. fuiz.us has moved to fuiz.org ! All existing links should work as usual and hopefully there was not that long of service interruption.

  5. AdaMix proves its edge in few-shot NLU, consistently outperforming full fine-tuning across GLUE benchmarks with BERT and RoBERTa. hackernoon.com/smarter-ai-trai #fewshotlearning

  6. AdaMix proves its edge in few-shot NLU, consistently outperforming full fine-tuning across GLUE benchmarks with BERT and RoBERTa. hackernoon.com/smarter-ai-trai #fewshotlearning

  7. AdaMix proves its edge in few-shot NLU, consistently outperforming full fine-tuning across GLUE benchmarks with BERT and RoBERTa. hackernoon.com/smarter-ai-trai #fewshotlearning

  8. AdaMix proves its edge in few-shot NLU, consistently outperforming full fine-tuning across GLUE benchmarks with BERT and RoBERTa. hackernoon.com/smarter-ai-trai

  9. AdaMix proves its edge in few-shot NLU, consistently outperforming full fine-tuning across GLUE benchmarks with BERT and RoBERTa. hackernoon.com/smarter-ai-trai #fewshotlearning

  10. AdaMix improves fine-tuning of large language models by mixing adaptation modules—outperforming full tuning with just 0.2% parameters. hackernoon.com/beating-full-fi #fewshotlearning

  11. AdaMix improves fine-tuning of large language models by mixing adaptation modules—outperforming full tuning with just 0.2% parameters. hackernoon.com/beating-full-fi #fewshotlearning

  12. AdaMix improves fine-tuning of large language models by mixing adaptation modules—outperforming full tuning with just 0.2% parameters. hackernoon.com/beating-full-fi #fewshotlearning

  13. AdaMix improves fine-tuning of large language models by mixing adaptation modules—outperforming full tuning with just 0.2% parameters. hackernoon.com/beating-full-fi

  14. AdaMix improves fine-tuning of large language models by mixing adaptation modules—outperforming full tuning with just 0.2% parameters. hackernoon.com/beating-full-fi #fewshotlearning

  15. AdaMix outperforms fine-tuning and top PEFT methods across NLU, NLG, and few-shot NLP tasks, proving both efficient and powerful. hackernoon.com/smarter-fine-tu #fewshotlearning

  16. AdaMix outperforms fine-tuning and top PEFT methods across NLU, NLG, and few-shot NLP tasks, proving both efficient and powerful. hackernoon.com/smarter-fine-tu #fewshotlearning

  17. AdaMix outperforms fine-tuning and top PEFT methods across NLU, NLG, and few-shot NLP tasks, proving both efficient and powerful. hackernoon.com/smarter-fine-tu #fewshotlearning

  18. AdaMix outperforms fine-tuning and top PEFT methods across NLU, NLG, and few-shot NLP tasks, proving both efficient and powerful. hackernoon.com/smarter-fine-tu

  19. AdaMix outperforms fine-tuning and top PEFT methods across NLU, NLG, and few-shot NLP tasks, proving both efficient and powerful. hackernoon.com/smarter-fine-tu #fewshotlearning

  20. AdaMix fine-tunes large language models with just 0.1% of parameters, beating full fine-tuning in performance and efficiency. hackernoon.com/how-to-improve- #fewshotlearning

  21. AdaMix fine-tunes large language models with just 0.1% of parameters, beating full fine-tuning in performance and efficiency. hackernoon.com/how-to-improve- #fewshotlearning

  22. AdaMix fine-tunes large language models with just 0.1% of parameters, beating full fine-tuning in performance and efficiency. hackernoon.com/how-to-improve- #fewshotlearning

  23. AdaMix fine-tunes large language models with just 0.1% of parameters, beating full fine-tuning in performance and efficiency. hackernoon.com/how-to-improve-

  24. AdaMix fine-tunes large language models with just 0.1% of parameters, beating full fine-tuning in performance and efficiency. hackernoon.com/how-to-improve- #fewshotlearning

  25. Olen jo yli tunnin miettinyt, toottaanko tämän, kert se on vissiä periaatettani vastaan: #AdHominem.

    Mutta kun sanoivat Ylen kahdeksan rariouutisissa, että "Suomea kokouksessa edustaa ulkomaankauppa- ja kehitysministeri #VilleTavio.", niin olin, et poor Finland. Samoin kävi yhdeksän rariouutisten aikaankin.

    Kert #Tavio vaikuttaa musta varsin yksiinkertaiselta inehmolta, noin persukansanedustaja-tasollakin.

    #SoriSiitä.

    #persut #yksinkertaisuus #politiikka

    yle.fi/a/74-20154288?utm_mediu

  26. #AdHominem : Qui est dirigé nommément contre l'adversaire et prend une valeur qui lui est toute particulière (pour un argument, une critique).

    #stipendier : Donner de l'argent dans l'attente d'un avantage qui ne s'acquiert pas ordinairement ainsi.

    #hypotrophie : Développement insuffisant d'un organe/tissu.

    #caudataire : obséquieux.

    #féal : dévoué et fidèle.

    #scélérat : Criminel, perfide, infâme / malhonnête, méprisable.

    #mot #maux #vocabulaire #science

  27. @darcher @Seilenos “And now I can tell that you only reached this conclusion recently, so there haven't been many changes in government since you did.”

    lol Where did you get that wrong idea? Thats the second assumption you’ve made about me. I guess if you can’t attack the argument, attack the person.

    #AdHominem #LogicalFallacy