# WeThinkIn/AIGC-Interview-Book

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

Repository: https://github.com/WeThinkIn/AIGC-Interview-Book
Canonical: https://ross.abutalabs.com/products/aigc-interview-book
Homepage: https://wethinkin.github.io/AIGC-Interview-Book/
License: GPL-3.0
License Family: copyleft
Topics: aigc, deep-learning, interview-preparation, interview-questions, machine-learning, large-language-models, stable-diffusion, computer-vision, interview, interviews-solutions, natural-language-processing, transformer, ai-agent, openclaw
Last push: 2026-08-26T15:11:45+00:00

## Health v2 (maintenance only)
Score: 72/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 35, longevity 75
- inputs: {"age_days": 1054, "days_push": 7, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4461, forks 455 (observed 2026-08-28T04:08:50.708573+00:00)

## What it is
An open-source Chinese-language interview preparation and career growth knowledge platform for AI algorithm and development roles, covering AIGC, LLMs, AI Agents, deep learning, computer vision, and NLP. It organizes curated interview questions, study roadmaps, tutorials, and career advice into a continuously updated knowledge base maintained by industry practitioners.

## Use cases
- prepare for an AIGC algorithm engineer interview
- find common LLM interview questions and answers
- plan a 30-day study roadmap for AI agent roles
- transition from traditional CV to generative AI roles
- learn transformer and stable diffusion fundamentals for interviews
- research AI engineer salaries and tech stack expectations
- review deep learning and machine learning interview basics

## When to choose
- you are interviewing for AI/ML algorithm or development positions
- you want curated, community-maintained interview question banks for AIGC/LLM/Agent topics
- you need structured study roadmaps and career guidance for AI roles

## When to avoid
- you need runnable code, libraries, or production tools rather than study material
- you need English-only learning resources
- you want a formal course with certification rather than an open knowledge base

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, developer-tools
- domain: artificial-intelligence, machine-learning, deep-learning, large-language-models, computer-vision, tutorials, education
- platform: cross-platform
- tags: interview-preparation, aigc, llm, ai-agent, career-growth, stable-diffusion, multimodal, job-hunting, knowledge-base, natural-language-processing, web-server

## Member repositories
- WeThinkIn/AIGC-Interview-Book (main) score 72

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:50.708573+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:20:41.891284+00:00, confidence not recorded.
  - readme: https://github.com/WeThinkIn/AIGC-Interview-Book (fetched 2026-08-28T04:08:50.708573+00:00, sha 917de5cd8ce8)
  - homepage: https://wethinkin.github.io/AIGC-Interview-Book/ (fetched 2026-08-29T09:07:45.088337+00:00, sha a3816f4baf37)
- Data as of 2026-08-30T08:39:29.467469+00:00.