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AIGC-Interview-Book

[Three-year interview and five-year simulation] AIGC/LLM/AI Agent algorithm engineer interview resource platform. Covering AIGC, LLM large model, AI Agent, embodied intelligence, traditional deep learning, computer vision, natural language processing, autonomous driving, machine learning, reinforcement learning, big data mining, world model, metaverse, AGI and other AI industry interview written test experience and core cross-cycle knowledge.

FreeDomain

Free domain registration and practical DNS learning resources for everyone.

Popularity
Repository stars5,145206,898Highest
7-day net stars——
Fork4944,650Highest
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2026-11-022026-08-12
Maintenance notesNot verifiedNot verified
Repository created2023-10-142024-05-30
License & use
LicenseGPL-3.0 · Share derivative sourceAGPL-3.0 · Share derivative source
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeLearning & resourcesLearning & resources
TypeGuides & collectionsGuides & collections
SubcategoryBooks & reference materialBooks & reference material
PlatformNot verifiedNot verified
Cost detailsCheck current official software, hosting, model and infrastructure pricing.Check current official software, hosting, model and infrastructure pricing.
Pricing source——
First collected2026-11-032026-11-03
MetricRepository stars, not unique users or individual-skill installsRepository stars, not unique users or individual-skill installs
LanguagePythonMarkdown
About this project[Three-year interview and five-year simulation] AIGC/LLM/AI Agent algorithm engineer interview resource platform. Covering AIGC, LLM large model, AI Agent, embodied intelligence, traditional deep learning, computer vision, natural language processing, autonomous driving, machine learning, reinforcement learning, big data mining, world model, metaverse, AGI and other AI industry interview written test experience and core cross-cycle knowledge.Free domain registration and practical DNS learning resources for everyone.
Measured at2026-11-03 08:30 UTC2026-11-03 08:23 UTC

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