Kedis ku xidhan hagaha · Dhexdhexaad Heerka

Kimi iyo Moonshot AI Kedis

Dib u eegis Kimi asalkiisa macnaha guud, Kimi K2 naqshadaynta isku dhafka ah ee khubarada, iyo sababta macnaha guud iyo awoodaha moodelku u kala duwan yihiin marka la sii daayo.

Wadooyinka haga ee la xidhiidhaKimi iyo Moonshot AI
Su'aal 1 ee 8

What maximum context size did Moonshot announce for the moonshot-v1 API at its January 2024 public beta?

Horudhac su'aal kasta8 su'aalo

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

  1. What maximum context size did Moonshot announce for the moonshot-v1 API at its January 2024 public beta?
    • Up to 128K tokens
    • Up to 8K tokens
    • Up to 32K tokens
    • Up to 1M tokens
  2. When does Moonshot AI’s official timeline say the company was founded?
    • Spring 2018
    • Spring 2023
    • Fall 2020
    • Winter 2025
  3. Which major investor did Alibaba disclose in its FY2024 annual report?
    • OpenAI, with an approximately 36% equity interest
    • Anthropic, with an approximately 36% equity interest
    • Moonshot AI, with an approximately 36% equity interest reported for that fiscal year
    • DeepMind, with an approximately 36% equity interest
  4. Nashqada noocee ah ayaa sameeya moodooyinka Kimi sida K2 ay u isticmaalaan si ay si hufan u cabbiraan?
    • Shabakado saafi ah oo soo noqnoqda
    • Go'aan geedaha
    • Taageerada mashiinada vector
    • Isku-dhafka khubarada (MoE)
  5. Waa maxay Kimi k1.5, oo la sii daayay horraantii 2025, looguna talagalay in lagu horumariyo?
    • Sababayn tallaabo-tallaabo ah
    • Kor u qaadista sawirka
    • Waxtarka baytari
    • samaynta 3D
  6. Waa maxay sababta daaqadda macnaha guud faa'iido u leedahay?
    • Waxay yaraynaysaa tirada cabbirka moodeelka
    • Waxay u ogolaataa moodelku inuu tixgeliyo dhammaan dukumeenti dheer hal mar
    • Waxay meesha ka saaraysaa baahida xogta tababarka
    • Waxay dammaanad qaadaysaa saxnaanta dhabta ah
  7. What scale does the Kimi K2 technical report give for total and activated parameters?
    • 70 billion total, with all 70 billion activated
    • 7 billion total, with 32 billion activated
    • 1 trillion total parameters, with 32 billion activated
    • 1 trillion total, with all parameters activated for every token
  8. Why should a comparison of Kimi model capabilities identify the exact release?
    • Every release has identical capabilities
    • The product name alone establishes the model’s benchmark score
    • Version identifiers matter only for billing
    • Context limits, modalities, and tool behavior can differ across model versions