Popular GitHub Repositories for Interview Questions

AI's query engine - Platform for building AI that can learn and answer questions over large scale federated data.

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.

A one stop repository for generative AI research updates, interview resources, notebooks and much more!

主要记录大语言大模型（LLMs） 算法（应用）工程师相关的知识及面试题

深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

High accuracy RAG for answering questions from scientific documents with citations

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.

Datawhale成员整理的面经，内容包括机器学习，CV，NLP，推荐，开发等，欢迎大家star

记录cv算法工程师的成长之路，分享计算机视觉和模型压缩部署技术栈笔记。https://harleyszhang.github.io/cv_note/

AIGC-interview/CV-interview/LLMs-interview面试问题与答案集合仓，同时包含工作和科研过程中的新想法、新问题、新资源与新项目

200+ detailed flashcards useful for reviewing topics in machine learning, computer vision, and computer science.

?‍??‍? AI 엔지니어 기술 면접 스터디 (⭐️ 2k+)

AI算法工程师面试宝典：三年面试经验，五年模拟题库！本书涵盖AIGC、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、具身智能、元宇宙、AGI等人工智能领域的面试笔试真题及实用技巧，助你轻松应对AI行业挑战。

This repository contains the code for "Exploiting Cloze Questions for Few-Shot Text Classification and Natural Language Inference"

【三年面试五年模拟】AI算法工程师面试秘籍。涵盖AIGC、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、具身智能、元宇宙、AGI等AI行业面试笔试经验与干货知识。

LLMs interview notes and answers:该仓库主要记录大模型（LLMs）算法工程师相关的面试题和参考答案

Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.

This Repositry is an experiment with an agent that searches documents and asks questions repeatedly in response to the main question. It automatically determines the optimal answer from the current documents or recognizes when there is no answer.