WeThinkIn / 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.
Purpose and fit
Author description: [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.
Basic listing based on official public information; functionality has not been independently evaluated.
Sources: official source 1 · official source 2. Based on public basic information; not an in-depth evaluation.
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- Learning & resources
- Platform
- Not verified
- Pricing
- Pricing not verifiedCheck current official software, hosting, model and infrastructure pricing.
Star trend (estimated)
Includes estimates from GitHub star history, excluded from net-growth rankings. Removed stars are absent and day boundaries are not guaranteed UTC; estimates are not historical end-of-day net totals.Repository info
Repository stars, not unique users or individual-skill installs
- Subcategory
- Books & reference material
- Platform
- Not verified
- First collected
- 2026-11-03
- Language
- Python
- License
- GPL-3.0 · Share derivative source
- Repository created
- 2023-10-14
- Last push
- 2026-11-02
- Measured at
- 2026-11-03 08:30 UTC
- Pricing
- Pricing not verified
- Cost details
- Check current official software, hosting, model and infrastructure pricing.
- Maintenance notes
- Not verified
License tiers are derived from metadata. Check obligations for your use; unknown does not mean prohibited.
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Historical observations
Raw observations below are not daily gains.
| Measured at | stars | Source |
|---|---|---|
| 2026-11-03 08:30:56 UTC | 5,145 | Source |