#107107th of 110 in Learning and cookbooks
deeplearing-interview-awesome-2024
Chinese-language deep learning and LLM interview question collection
- Stars
- 2.9k
- License
- no license
- Last commit
- Mar 2026
Missed the latest GitHub check; these facts may be older.
Overview
A curated list of algorithm interview questions in Chinese, grouped into six topics: LLMs, computer vision and perception, deep learning basics and frameworks, industry verticals, hand-coding exercises and open-source resources. Questions link to Markdown reference files with answers. The README says some questions have no answer or an incomplete one so far.
Who it is for: Chinese-reading candidates preparing for ML, LLM and computer vision interviews
Strengths
- Covers LLM topics: LoRA, SFT, RoPE, GQA, DeepSpeed ZeRO, Qwen-VL, Janus-Pro
- Also covers classic vision: YOLO and FCOS label assignment, DETR, SAM, PointPillars
- Includes PyTorch, MMDetection, ONNX and distributed training questions
- Still updated; last commit 2026-03-05
Weaknesses
- Chinese only, no English translation
- Some questions lack answers or have incomplete ones, per the README
- Question order carries no difficulty, frequency or category metadata
- Reading material only; no runnable project or tool
What it needs
- no GPU
Also in Learning and cookbooks
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| 3 | rag_techniquesCollection of 42 runnable notebooks implementing RAG techniques | 82 out of 100 |
| #4 | cs249r_bookOpen textbook and course materials for machine learning systems engineering | 82 out of 100 |
| #5 | agents-towards-productionJupyter tutorials for taking LLM agents from prototype to production | 82 out of 100 |