Kuiz berkaitan panduan · Sederhana Tahap

Kuiz Model Artik Kepingan Salji

Uji pengetahuan anda tentang fokus perusahaan Snowflake Arctic, reka bentuk MoE, kos latihan yang dilaporkan dan pusat pemeriksaan membenamkan.

Laluan panduan yang berkaitanModel Artik Kepingan Salji
soalan 1 daripada 8

Apakah jenis syarikat yang membina model Artik?

Pratonton setiap soalan8 soalan

Jawapan dan penjelasan muncul semasa anda mengambil kuiz.

  1. Apakah jenis syarikat yang membina model Artik?
    • Sebuah syarikat gudang data awan
    • Sebuah studio permainan video
    • Pengeluar kereta
    • Rangkaian media sosial
  2. What architecture figures did Snowflake report for Arctic?
    • A single dense network with 17B total parameters
    • 480B total parameters, with about 17B active per token
    • 480B active parameters for every token
    • A rule-based model with no neural parameters
  3. Apakah fokus tugas yang membezakan Artik daripada chatbot pengguna umum?
    • Menjana puisi dan lirik lagu
    • Bermain catur
    • Tugas perusahaan seperti penjanaan dan pengekodan SQL
    • Mengedit foto
  4. Under what license did Snowflake release Arctic’s model weights?
    • Lesen proprietari tertutup
    • Lesen langganan sahaja
    • Tiada lesen langsung
    • Apache 2.0
  5. How did Snowflake characterize Arctic’s training compute budget?
    • It reported roughly under $2 million for its training compute
    • It reported a cost over one billion dollars
    • It said no computers were used
    • It did not disclose any estimate
  6. Apakah model Arctic Embed digunakan?
    • Menjana imej
    • Cari, dapatkan semula dan penjanaan penjanaan dipertingkatkan semula
    • Memampatkan video
    • Mengawal robot
  7. Which routing strategy did Snowflake report Arctic uses to choose MoE experts?
    • All-expert routing
    • Round-robin scheduling across tokens
    • Top-2 gating
    • A fixed expert selected by token position
  8. Which two types of Arctic language-model checkpoints did Snowflake release?
    • Image and audio only
    • Encoder and speech-vocoder only
    • Training and evaluation datasets only
    • Base and instruct-tuned