quiz bu lëkkale ak tegtal · Diggante Niveau

Zhipu GLM xeetu quiz

Muy muur tur GLM ak mébetu tàggat, ChatGLM lineage, génne model yu bees, ak tekki bu moytu ci yeesali liggéeyukaay.

Yooni njiit yu jëm ciModèle Glm Zhipu
Laaj 1 de 8

Luy GLM ci xeetu Zhipu?

Xoolaatal laaj bu nekk8 laaj

Sooy def quiz bi, tontu yi ak leeral yi dañuy feeñ.

  1. Luy GLM ci xeetu Zhipu?
    • Modèle de langue général
    • Masinu Jàng Àdduna
    • Modèle couche graphique
    • Module logique génératif
  2. Ban daara ju kawe la Zhipu IA gëna jege?
    • Daara bu kawe bu Peking
    • Daara bu kawe bu Tsinghua
    • MIT
    • Daara bu kawe bu 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. naka la mébetu tàggat GLM di doxee?
    • Dafay maske ay mbind yu bari ba noppi feesal barab yu amul dara
    • Dafay wax luy waaja am ci baat bi ci topp
    • Dafay boole kàddu yu amul etiket
    • Dafay rang njariñu seetug
  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
    • Dindi bépp layer buy bàyyi xel
    • 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