Zhipu GLM Modelleri Testi

Testi çözdüğünüzde cevaplar ve açıklamalar görünür.

1. Zhipu'nun modellerinde GLM neyi temsil ediyor?
   • Genel Dil Modeli
   • Küresel Öğrenme Makinesi
   • Grafik Katman Modeli
   • Üretken Mantık Modülü
2. Zhipu AI en yakından hangi üniversiteyle ilişkilidir?
   • Pekin Üniversitesi
   • Tsinghua Üniversitesi
   • MİT
   • Fudan Üniversitesi
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. Orijinal GLM eğitim hedefi nasıl işliyor?
   • Metin aralıklarını maskeler ve boşlukları otomatik regresif olarak doldurur
   • Yalnızca bir sonraki kelimeyi tahmin eder
   • Kelimeleri etiketsiz olarak kümeler
   • Arama sonuçlarını sıralar
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
   • Tüm dikkat katmanlarının kaldırılması
   • 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