Kedis ku xidhan hagaha · Dhexdhexaad Heerka

Kediska Models Falcon

Waxay hubisaa horumariyaha Falcon, RefinedWeb, feejignaanta su'aalaha badan, kala duwanaanshaha Mamba iyo doorka dadaallada moodeelka aasaaska madaxbannaan.

Wadooyinka haga ee la xidhiidhaMoodooyinka Falcon
Su'aal 1 ee 8

Ururkee ayaa horumariya moodooyinka Falcon?

Horudhac su'aal kasta8 su'aalo

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

  1. Ururkee ayaa horumariya moodooyinka Falcon?
    • Machadka Innovation Technology (TII) ee Abu Dhabi
    • Bilawga Silicon Valley
    • Akadeemiyada Sayniska ee Shiinaha
    • Daladda jaamacadaha Yurub
  2. Maxaa xusid mudan oo ku saabsan xogta RefinedWeb ee loo isticmaalay in lagu tababaro moodooyinka Falcon hore?
    • Waxay ahayd mid yar oo gacanta lagu qoray
    • Waxaa lagu dhisay si gardarro ah oo shaandhayn iyo kala-saar xogta shabakadda halkii lagu tiirsanaan lahaa ilo la soo koobay
    • Waxay ka koobnayd sawirro kaliya
    • Waxay ahayd gebi ahaan synthetic
  3. Waa maxay farsamada fiiro gaar ah ay moodooyinka falcon transformer isticmaalaan si ay u badbaadiyaan xusuusta marka la eego?
    • Wax dareen ah haba yaraatee
    • Feejignaan buuxda oo afar geesood ah kaliya
    • Feejignaan su'aalo badan
    • Fiiro gaar ah
  4. Sidee Falcon Mamba uga duwan yahay qaab dhismeed ahaan moodooyinka Falcon ee caadiga ah?
    • Waa transformer leh lakabyo badan
    • Ma laha shabakad neerfaha
    • Waxa kaliya oo ay qabataa soocidda sawirka
    • Waxay isticmaashaa model-state-space halkii ay ka isticmaali lahayd transformer
  5. Waa maxay nooca erey ee moodooyinka Falcon guud ahaan la sii daayo?
    • Erayada oggolaanshaha ee dhiirigeliya isticmaalka ganacsiga iyo cilmi-baarista
    • Si adag u xiran oo gaar ah
    • La heli karo oo keliya muwaadiniinta UAE
    • Kaliya sida API lacag bixin ah
  6. Falcon waxaa inta badan loo soo qaataa tusaale ahaan isbeddelkee ka ballaaran?
    • Dhamaadka isha furan ee AI
    • Waddamada dhisaya madax-bannaanida, moodooyinka aasaaska guriga
    • Qaababka offline ka shaqeeya
    • Ku beddelashada dhammaan GPU-yada CPU-yada
  7. In multi-query attention, what do multiple query heads share?
    • One shared query and separate keys for every token
    • The same final vocabulary logits
    • A single set of key and value projections
    • A single attention score for all layers
  8. What does Falcon’s RefinedWeb training data illustrate?
    • A state-space model needs no training text
    • All web pages are equally reliable without filtering
    • Synthetic data must always replace real text
    • A large web corpus can be filtered and deduplicated rather than relying only on curated sources