Kedis ku xidhan hagaha · Dhexdhexaad Heerka

Alibaba Qwen Kedis

Sahami qaabka Alibaba ee Qwen qoyska, qoraalka iyo noocyada kala duwanaanshiyaha hab-dhismeedka badan, iyo sababta horumariyayaashu ay tahay inay u hubiyaan moodal kasta shuruudaha shatiga gaarka ah.

Wadooyinka haga ee la xidhiidhaAlibaba Qwen
Su'aal 1 ee 8

Shirkaddee horumarisa qoyska Qwen ee moodooyinka AI?

Horudhac su'aal kasta8 su'aalo

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

  1. Shirkaddee horumarisa qoyska Qwen ee moodooyinka AI?
    • Alibaba
    • Tencent
    • Baydu
    • ByteDance
  2. What should developers check before using particular Qwen weights commercially?
    • Only the Qwen source-code repository license
    • The license or agreement supplied with those specific weights
    • Whether the model is popular
    • The parameter count, which determines rights automatically
  3. What total and activated parameter counts did Alibaba report for Qwen1.5-MoE-A2.7B?
    • 2.7B total and 14.3B activated
    • 72B total and 72B activated
    • 14.3B total and 2.7B activated
    • 14.3B total with no parameters activated per token
  4. Waa kuwee kala duwanaanshaha Qwen ee gaarka ah ee loogu talagalay hawlaha barnaamijyada?
    • Qwen-VL
    • Qwen-Maqal
    • Qwen-Math
    • Qwen-Coder
  5. Qwen-VL waxaa loola jeedaa qaab ka baaraandegi kara isku darka?
    • Aragtida (sawirrada) iyo luqadda
    • Codka iyo xogta goobta
    • Ciyaaraha fiidiyowga iyo halxiraalaha macquulka ah
    • Xaashiyaha faafinta ee aadka u weyn kaliya
  6. According to the Qwen technical report, which language focus did the authors identify in the pretraining data?
    • Only French and German
    • Chinese iyo English
    • Kaliya luuqadaha barnaamijka
    • A single unnamed language
  7. What does Qwen2-VL’s Naive Dynamic Resolution mechanism do?
    • Forces every input image into one fixed 224-pixel square
    • Removes all text from images
    • Processes images at varying resolutions into varying numbers of visual tokens
    • Converts image pixels directly into audio tokens
  8. In a Mixture-of-Experts model, what directs a token to selected experts?
    • A person choosing every expert
    • The tokenizer’s vocabulary order
    • A fixed round-robin schedule
    • A learned router