Idanwo ti o sopọ mọ itọsọna · Alabọde Ipele

Kimi ati Moonshot AI adanwo

Reviews Kimi’s long-context origins, Kimi K2’s mixture-of-experts design, and why context and model capabilities vary by release.

Jẹmọ itọsọna awọn ọnaKimi Ati Moonshot AI
Ibeere 1 ti 8

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

Awotẹlẹ gbogbo ibeere8 ibeere

Awọn idahun ati awọn alaye han bi o ṣe n mu ibeere naa.

  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. Kini faaji ṣe nigbamii awọn awoṣe Kimi gẹgẹbi K2 lo lati duro daradara ni iwọn nla?
    • Awọn nẹtiwọki loorekoore mimọ
    • Awọn igi ipinnu
    • Ṣe atilẹyin awọn ẹrọ fekito
    • Àkópọ̀ àwọn ògbógi (MoE)
  5. Kini Kimi k1.5, ti a tu silẹ ni ibẹrẹ 2025, ti a ṣe lati ni ilọsiwaju?
    • Idagbasoke Igbesẹ-igbesẹ
    • Igbega aworan
    • Batiri ṣiṣe
    • 3D Rendering
  6. Kilode ti ferese ọrọ ọrọ gigun jẹ wulo?
    • O din awọn awoṣe ká paramita kika
    • O jẹ ki awoṣe ṣe akiyesi gbogbo iwe gigun ni ẹẹkan
    • O ṣe imukuro iwulo fun data ikẹkọ
    • O ṣe iṣeduro iṣedede otitọ
  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