Guide-yakabatana mibvunzo · Pakati Nhanho

Alibaba Qwen Quiz

Ongorora Alibaba's Qwen modhi yemhuri, zvinyorwa uye zvakasiyana-siyana, uye nei vanogadzira vachifanira kutarisa ega ega ega rezinesi matemi.

Nzira dzekutungamira dzinoenderanaAlibaba Qwen
Mubvunzo 1 ye 8

Ndeipi kambani inovandudza mhuri yeQwen yemhando dzeAI?

Tarisa mubvunzo wese8 mibvunzo

Mhinduro uye tsananguro zvinoonekwa paunenge uchitora bvunzo.

  1. Ndeipi kambani inovandudza mhuri yeQwen yemhando dzeAI?
    • Alibaba
    • Tencent
    • Baidu
    • 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. Ndeipi yakasarudzika Qwen musiyano wakagadzirirwa mabasa ekuronga?
    • Qwen-VL
    • Qwen-Audio
    • Qwen-Math
    • Qwen-Coder
  5. Qwen-VL inoreva modhi inogona kugadzirisa musanganiswa upi?
    • Chiono (mifananidzo) uye mutauro
    • Inzwi uye data yenzvimbo
    • Mitambo yemavhidhiyo uye logic puzzles
    • Maspredishiti makuru kwazvo chete
  6. According to the Qwen technical report, which language focus did the authors identify in the pretraining data?
    • Only French and German
    • Chinese neChirungu
    • Mitauro yekuronga chete
    • 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