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WeThinkIn/AIGC-Interview-Book

accelerating

【三年面试五年模拟】AIGC/LLM/AI Agent算法工程师面试秘籍。涵盖AIGC、LLM大模型、AI Agent、传统深度学习、自动驾驶、机器学习、计算机视觉、自然语言处理、强化学习、大数据挖掘、具身智能、元宇宙、AGI等AI行业面试笔试干货经验与核心知识。

ai-agentaigccomputer-visiondeep-learninginterviewinterview-preparationinterview-questionsinterviews-solutions
Velocity score
0.97/ 10
[STARS]
3.7k
[FORKS]
395
[CONTRIBUTORS]
19
[LAST_COMMIT]
today
OPEN_ON_GITHUB
Velocity class: accelerating
30-day stars
0.97/ 10 score
last 36d
[SIGNAL_TRACE / 36_PT]
Score breakdown
767/ 1000
image-gen · WeThinkIn/AIGC-Interview-Book
Velocity50%
Adoption30%
Maintenance15%
Community5%
[CODE_GROWTH]
975
[INSTALL_VEL]
500
[ACTIVITY]
607
[COMMUNITY_SIGNAL]
762

Terminal score: 0–1000 raw, weighted across 4 dimensions. Public score: 0–10 normalized (shown in the 30-day stars chart above).

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