Zhipu GLM Models Quiz

Answers and explanations appear as you take the quiz.

1. What does GLM stand for in Zhipu's models?
   • General Language Model
   • Global Learning Machine
   • Graphical Layer Model
   • Generative Logic Module
2. Which university is Zhipu AI most closely associated with?
   • Peking University
   • Tsinghua University
   • MIT
   • Fudan University
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. How does the original GLM training objective work?
   • It masks spans of text and fills the blanks autoregressively
   • It only predicts the next word
   • It clusters words without labels
   • It ranks search results
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
   • Removing all attention layers
   • 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