Kuiz berkaitan panduan · Sederhana Tahap

Kuiz Model Zhipu GLM

Meliputi nama GLM dan objektif latihan, keturunan ChatGLM, keluaran khusus model semasa dan tafsiran berhati-hati terhadap kemas kini syarikat.

Laluan panduan yang berkaitanModel Zhipu Glm
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Apakah maksud GLM dalam model Zhipu?

Pratonton setiap soalan8 soalan

Jawapan dan penjelasan muncul semasa anda mengambil kuiz.

  1. Apakah maksud GLM dalam model Zhipu?
    • Model Bahasa Umum
    • Mesin Pembelajaran Global
    • Model Lapisan Grafik
    • Modul Logik Generatif
  2. Universiti manakah yang paling rapat dengan Zhipu AI?
    • Universiti Peking
    • Universiti Tsinghua
    • MIT
    • Universiti Fudan
  3. What did the ChatGLM-6B release make available to developers?
    • A video-only diffusion model
    • A proprietary API with no released model
    • A bilingual Chinese-English chatbot model with deployment options for local hardware
    • A database for image annotations
  4. What does CogVideoX generate from a text prompt?
    • A protein structure
    • A transaction graph
    • A speech transcript only
    • A video clip
  5. Bagaimanakah objektif latihan GLM asal berfungsi?
    • Ia menutup rentang teks dan mengisi tempat kosong secara autoregresif
    • Ia hanya meramalkan perkataan seterusnya
    • Ia mengumpulkan perkataan tanpa label
    • Ia menentukan kedudukan hasil carian
  6. What is a stable technical question to ask about a specific Zhipu GLM release?
    • Whether all GLM releases have identical limits
    • Which capabilities, license, and evaluation results are documented for that exact version
    • Whether the company name predicts model quality
    • Whether a single benchmark proves general superiority
  7. What deployment option does the ChatGLM-6B repository document for reducing memory requirements?
    • Increasing the model to 70 billion parameters
    • Mengalih keluar semua lapisan perhatian
    • Quantized inference configurations such as 4-bit loading
    • Training a new tokenizer at each request
  8. How does the original GLM paper describe positional information for infilling spans?
    • It uses no position information
    • It assigns each document one global position
    • It treats masked spans as image patches
    • It uses two-dimensional positions to represent text position and the infilling span