Kedis ku xidhan hagaha · Dhexdhexaad Heerka

Kediska Feejignaanta Su'aal kooxaysan

Dib u eeg sida dareenka su'aal-kooxeedku u qaybsado madaxda muhiimka ah/qiimaha, hoos u dhigto kharashaadka kaydinta wakhtiga jiilka, lagana heli karo isbaarooyinka jira.

Wadooyinka haga ee la xidhiidhaFeejignaanta Weydiinta Kooxaysan
Su'aal 1 ee 8

Feejignaan-kooxeed-Su'aal, maxaa la wadaagaa kooxda madaxda weydiinta?

Horudhac su'aal kasta8 su'aalo

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

  1. Feejignaan-kooxeed-Su'aal, maxaa la wadaagaa kooxda madaxda weydiinta?
    • Furaha iyo madaxda qiimaha
    • Saadaasha wax soo saarka kaliya
    • Ku-xidhka gelinta
    • Heerka waxbarashada
  2. GQA waxaa sida ugu wanaagsan loogu tilmaamay meel dhexe oo u dhaxaysa labada daraf?
    • Convolution iyo fiiro gaar ah
    • Fiiro gaar ah oo madax badan leh iyo feejignaan su'aalo badan
    • FP32 iyo FP8 sax ah
    • Noocyo-kaliya iyo cod-dejiyaha-kaliya
  3. Waa maxay qayb ka mid ah fikradda GQA ugu horrayn ka jaban tahay?
    • Calaamadaynta degdega ah
    • Xisaabinta khasaaraha tababarka
    • Xusuusta kaydka KV iyo baaxaddeeda inta lagu jiro jiilka
    • softmax ugu dambeeya ee ka sarreeya erayada
  4. Haddii moodal leeyahay 32 madax waydiimo iyo 8 kooxood oo KV ah, khasnadda KV waa la dhimay qiyaastee?
    • Qiyaastii 32x
    • Qiyaastii 2x
    • Wax dhimis la'aan
    • Qiyaastii 4x
  5. What quality/speed tradeoff did the GQA paper report in its experiments?
    • Quality close to MHA with inference speed closer to MQA
    • Lower quality and slower inference than both
    • Exactly the same latency and quality for every model
    • A result only on image classification
  6. Sidee baa moodooyinka madax-badan ee jira inta badan loogu beddelaa GQA?
    • Adigoo tirtiraya dhammaan lakabyada dareenka
    • Talaabo gaaban oo 'kor u qaadis' ah oo laga qaaday isbaarada jirta
    • Adigoo u wareegaya calaamad kale
    • Waxba lama rogi karo
  7. Which task families did the GQA paper evaluate?
    • Image segmentation and object detection
    • Speech synthesis and speaker verification
    • Language modeling and machine translation
    • Molecular generation and toxicity prediction
  8. How much of the original pretraining compute did the GQA paper report using for its uptraining recipe?
    • Ilaa 50%
    • About 100%
    • No additional training compute
    • Ilaa 5%