# zixian2021/AI-interview-cards

最完整的AI算法面试题目仓库，1000道，25个类目

Repository: https://github.com/zixian2021/AI-interview-cards
Canonical: https://ross.abutalabs.com/products/ai-interview-cards
License Family: other
Last push: 2023-08-13T11:05:51+00:00

## Health v2 (maintenance only)
Score: 30/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 90
- inputs: {"age_days": 1269, "days_push": 1116, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1352, forks 118 (observed 2026-08-28T04:04:28.672405+00:00)

## What it is
A curated repository of over 1000 machine learning and deep learning interview questions and answers organized into 25 categories, including a dedicated LLM topic section. It is a study resource written primarily in Chinese for AI algorithm engineer job interviews.

## Use cases
- prepare for machine learning algorithm engineer interviews
- review deep learning interview questions and answers
- study LLM interview questions
- brush up on topics like SVM, Transformer, and reinforcement learning before an interview
- find a categorized question bank for AI job screening prep

## When to choose
- you are interviewing for ML/DL algorithm roles and want a large categorized Q&A bank
- you prefer Chinese-language interview prep material
- you want coverage spanning classical ML, deep learning, NLP, CV, and LLM topics

## When to avoid
- you need runnable code or hands-on exercises rather than Q&A text
- you need English-only study material
- you need actively updated content, as the last update was August 2023

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, deep-learning, nlp, llm-inference, reinforcement-learning
- domain: machine-learning, deep-learning, large-language-models, tutorials
- platform: cross-platform
- tags: interview-preparation, question-bank, qa-cards, chinese-language, algorithm-interview, natural-language-processing

## Member repositories
- zixian2021/AI-interview-cards (main) score 30

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:28.672405+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 2026-08-30T04:42:11.487176+00:00, confidence not recorded.
  - readme: https://github.com/zixian2021/AI-interview-cards (fetched 2026-08-28T04:04:28.672405+00:00, sha f50d7902d127)
- Data as of 2026-08-30T08:39:29.467469+00:00.