वास्तुकला और डिजाइन प्रश्नोत्तरी में एआई

जैसे ही आप प्रश्नोत्तरी लेते हैं उत्तर और स्पष्टीकरण दिखाई देते हैं।

1. वास्तुकला में जेनेरिक डिज़ाइन के पीछे मूल विचार क्या है?
   • Define goals and constraints, then generate and evaluate design alternatives
   • Copy an existing landmark exactly
   • Let AI approve building permits
   • Replace all architectural judgment
2. Which model family does the cited latent-diffusion paper describe for image synthesis?
   • A spreadsheet optimizer
   • Diffusion models that iteratively denoise a latent representation
   • A hard-hat detector
   • A pronunciation aligner
3. Why can a photorealistic AI rendering still be unsuitable as a construction plan?
   • It is always black and white
   • It cannot contain pixels
   • It may show appearance without validated geometry or engineering constraints
   • It automatically includes verified permits
4. What does BIM stand for in this context?
   • Building Image Matching
   • Basic Interior Measurement
   • Building Inspection Manual
   • Building Information Modeling
5. Which optimization approach did the cited benchmark say was popular in architectural design optimization?
   • आनुवंशिक एल्गोरिदम
   • वाक् पहचान
   • Image-caption generation
   • Word alignment
6. Which types of information can an IFC building model represent beyond geometry?
   • Only a photorealistic image of the finished building
   • Attributes and relationships such as materials, locations, connections, ownership, and work schedules
   • A guarantee that the design meets every local building code
   • A rendered view with no object or process data
7. What information does IFC provide in a BIM workflow?
   • A guarantee that every model is accurate
   • A permit approval from a regulator
   • A schema and exchange format for building-model data
   • An image model’s prompt history
8. What result did the cited architectural benchmark report for its tested evaluation budget and problems?
   • Every genetic algorithm found the global optimum
   • Diffusion models outperformed all simulations
   • The results proved one method best for every building project
   • The model-based RBFOpt method was the most efficient and robust of the tested methods