【资源目录】:
├──八大专题
| ├──产品经理专题
| | ├──img
| | | └──EcCs4A7k63m08qei
| | ├──AI产品经理学习路线图.md 0.20kb
| | └──产品经理面试题.md 2.52kb
| ├──index.md 24.14kb
| ├──大模型(LLMs)专题.md 22.23kb
| ├──多模态专题.md 9.80kb
| ├──计算机视觉与感知算法专题.md 27.98kb
| ├──深度学习基础与框架专题.md 21.36kb
| ├──手撕项目代码专题.md 16.13kb
| ├──优异开源资源推荐专题.md 4.50kb
| └──自动驾驶、智慧医疗等行业垂域专题.md 9.97kb
├──编程能力
| ├──img
| | ├──5vcsxLgprmoK-6g5
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| | ├──C9YiftXQrSDQpFGS
| | | └──1710570201529-7681115c-a825-4515-9d81-03bf4dc2243e-891741.webp 81.02kb
| | ├──FQd5jcgibpDKucDO
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| | ├──Sghr070PYFOiTIcI
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| | ├──v3smLKjiqrihVCci
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| | ├──W5yQTOxershmW6di
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| | ├──_D3BYB1UHeo723GB
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| | | └──1722921555834-bdced120-6f0f-49c7-a80f-765259b563f1-476179.png 23.38kb
| | └──_jml8wYxDVPdknMs
| | | ├──1722921557284-e09b4f77-93bb-400f-9405-1664dc9bf18c-152436.png 32.33kb
| | | └──1722921557390-bb109aef-a62e-42db-a6d1-3efce80810a3-623349.png 50.14kb
| ├──20道常考Python面试题大总结.md 7.87kb
| ├──Pytorch十大核心常考点.md 27.50kb
| ├──TMD几道热门SQL面试题.md 3.49kb
| ├──大厂必考常用窗口函数及面试题.md 24.78kb
| ├──高频面试：HiveSQL函数高阶应用知识点总结.md 16.42kb
| ├──面试必备20个常用Linux命令.md 11.26kb
| ├──详解Python类的封装、继承和多态！.md 14.08kb
| ├──总结10个Hive高频面试考点.md 15.29kb
| ├──最频繁考察的有趣的智力题.md 42.30kb
| └──作为算法工程师，你不得不会的32个Linux命令.md 35.76kb
├──大厂面试题
| ├──img
| | └──HxdzGZPETdfYPcEa
| | | └──1725264384342-0d33aa12-cb54-4387-85ed-ee3eec3ef7ea-767487.png 3.12kb
| ├──2023年算法面经，4家大厂offer已入手.md 6.85kb
| ├──2023秋招NLP算法（含大模型）面经.md 1.40kb
| ├──58算法一面二面.md 1.49kb
| ├──Nvidia面经：AI深度学习推理加速HPC类岗位.md 1.82kb
| ├──阿里大模型算法工程师面试分享.md 3.00kb
| ├──百度NLP算法实习面经.md 1.03kb
| ├──百度算法工程师(大模型方向)10道面试题.md 4.76kb
| ├──比亚迪算法岗面试心得分享.md 2.68kb
| ├──长安汽车-智能算法岗面经.md 0.64kb
| ├──大模型算法岗(含实习)面试总结.md 8.05kb
| ├──分享一波攒了整个秋招的NLP算法岗面经.md 2.88kb
| ├──港硕上岸鹅厂算法岗，谈谈感受和心得！.md 3.70kb
| ├──海康-base杭州-多模态llm.md 0.47kb
| ├──科大讯飞NLP算法岗经验总结.md 1.63kb
| ├──科大讯飞nlp一面.md 1.11kb
| ├──科大讯飞飞星计划一面.md 0.95kb
| ├──昆仑天工大模型实习一面面经.md 1.34kb
| ├──理想大模型面经.md 1.87kb
| ├──蚂蚁算法岗总结.md 1.64kb
| ├──秋招算法岗面经复盘-百度-算法工程.md 0.95kb
| ├──荣耀算法一面面经.md 0.85kb
| ├──上海5家知名企业NLP算法岗(大模型方向)面试题.md 10.54kb
| ├──搜狐大模型算法岗(实习)面经.md 5.41kb
| ├──网易NLP大模型（实习）面试题8道（含答案）.md 8.48kb
| ├──网易做大模型实习生.md 1.28kb
| ├──小红书暑期实习计算机视觉&多模态面经.md 1.26kb
| ├──小红书算法岗面试经验总结.md 2.92kb
| ├──小米多模态面经分享.md 0.45kb
| ├──小米暑期实习NLP算法工程师一面面经.md 1.17kb
| ├──招银科技算法岗面经.md 1.08kb
| ├──智慧树大模型算法面经.md 0.95kb
| ├──字节算法岗面经.md 2.02kb
| └──字节智能创作多模态算法法面经.md 3.00kb
├──大模型知识要点
| ├──img
| | ├──38RNRXPUSPmSHjmo
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| | ├──AnqbxULCOdiu-Vl5
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| | ├──CRecMCliZgZjBLO8
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| | ├──d0xIG0ONwKhHPfEs
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| | ├──FdrfIMTE4qKqNTCv
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| | ├──FJQ9dhiv_Oppi0o4
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| | ├──gsl7molO86FreedG
| | | ├──1725264360961-d19e8d28-4e79-42d0-997c-95b05ce465dd-060273.png 86.42kb
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| | ├──gUtmAr8xuR-1Msb6
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| | ├──lxfC6noACokazw-8
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| | | └──1725264357424-679426c8-a73f-4c8e-a4f6-bdefa6003c44-107415.jpeg 39.91kb
| ├──26种prompt套路，驯服大模型.md 7.92kb
| ├──不理解自注意力？教你从头写代码实现.md 33.04kb
| ├──大模型RAG这篇综述讲明白了.md 11.38kb
| ├──大模型的generate和chat函数有什么区别？.md 2.42kb
| ├──大模型分布式AI框架.md 0.71kb
| ├──大模型技术路线图.md 4.55kb
| ├──大模型微调方法总结.md 13.47kb
| ├──大模型微调经验总结与感想分享.md 9.26kb
| ├──大模型训练为什么用A100不用4090.md 54.04kb
| ├──大模型资料大全：文本、多模态大模型、垂直领域微调模型.md 107.04kb
| ├──基础大模型训练过程概述.md 7.66kb
| ├──轻松上手的LangChain学习说明书.md 103.53kb
| ├──人人都是AI大师-Prompt工程.md 22.02kb
| ├──图解Transformer架构.md 27.29kb
| ├──图解：小白看得懂的BERT原理.md 16.92kb
| ├──万字长文梳理Llama开源家族！从Llama-1到Llama-3.md 26.77kb
| ├──万字长文详解GPT.md 44.95kb
| ├──为什么大模型需要向量数据库？.md 7.97kb
| ├──一文读懂多模态大模型的进化之路.md 13.43kb
| ├──一文搞懂bert(图解+手撕代码).md 28.90kb
| ├──一文搞懂Transformers原理(图解+手撕代码).md 33.66kb
| ├──一文讲透生成式预训练模型GPT、GPT2、GPT3.md 33.51kb
| ├──一文梳理有效提升RAG效果的方法.md 26.47kb
| ├──一文详解最热的LLM应用开发框架LangChain.md 36.27kb
| ├──有哪些省内存的大语言模型训练_微调_推理方法？.md 6.43kb
| └──主流大语言模型的技术原理细节.md 4.87kb
├──精选论文
| ├──img
| | ├──37k8gW5x7c4PjPkN
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| | ├──4VebfpTW1LuJ8HH9
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| | ├──bMAQDE60ZPi5NcYl
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| | ├──f5V0jRrLw-cigXgk
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| | └──JqKNAwyV3CJ4FdMA
| | | ├──1725264535742-22d4058b-4eee-4512-b740-014885f8e649-422316.png 139.13kb
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| | | ├──1725264536702-0a5f94bc-f63c-479b-ac7e-e9284a23b632-467769.png 56.84kb
| | | └──1725264536706-beb1ae65-d506-4747-a2cd-af6ad7e2dadd-446191.png 43.43kb
| ├──ASurveyofLargeLanguageModels.md 1.06kb
| ├──RAG-Survey：大型语言模型检索增强生成(RAG)相关文献资源列表.md 1.06kb
| ├──万字长文-大语言模型指令调优综述.md 1.56kb
| ├──一篇大模型Agent工具使用全面研究综述.md 12.13kb
| └──最新论文.md 8.66kb
├──认知篇
| ├──img
| | ├──7Q3M5UnB9arIq6IT
| | | └──1681528190131-56b1e9bb-cea4-420b-bded-614c6568bace-738933.jpeg 21.16kb
| | ├──HP_kNzhZAWIcsZ07
| | | └──1681528169027-1fcc6a1d-13a6-4db8-953f-19e22bf9bf48-712506.jpeg 21.16kb
| | ├──r528xxMhcDpGRrge
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| | ├──uFVq6sdB9DrcLwBk
| | | └──1681528076437-ed63af47-743f-4dad-8d7a-6b1a2becc61c-942218.jpeg 21.16kb
| | └──wh4TyaBBGN0DurjP
| | | └──1681527994818-31a12c57-d428-4712-bd35-69064b37197d-633196.jpeg 21.16kb
| ├──大模型算法工程师是什么？.md 3.85kb
| ├──简历制作与投递.md 3.69kb
| ├──如何拿到大厂算法岗？.md 11.50kb
| ├──项目经历准备与提升技巧.md 6.14kb
| ├──校招面试新人指南.md 10.87kb
| └──自我介绍.md 1.56kb
├──实战案例
| ├──img
| | ├──78MwtQRKsC5XdgOK
| | | ├──1710578985605-6662f3f8-db4c-4b9d-bd73-b2b73399d004-735243.png 133.61kb
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| | ├──aKsqO9sgEc6yW2jX
| | | └──1710580859523-fb785a3f-3960-4042-86b2-654a85f42175-175644.png 282.52kb
| | ├──L3Lrc7Q2KFS2W2W7
| | | ├──1710578052218-94b0ca05-a055-4342-88dc-73bdf5a422ca-529529.png 140.51kb
| | | └──1710578076641-a5bf6b18-5a00-427f-a1e2-92a779bf9e85-446894.png 188.32kb
| | └──vBcHmTHDr1Th7ugC
| | | ├──1710580345131-e294780e-55b0-4268-adf1-ccbb4e5b4c28-177352.png 525.52kb
| | | ├──1710580370664-53558924-fb5f-473a-a7d2-f6d2cc075241-470660.png 40.79kb
| | | ├──1710580505565-6faee31a-fcaf-40a8-95d3-0dbf067672b6-568454.png 82.40kb
| | | ├──1710580535402-1362ea89-3532-410a-a624-e9ad1ed27ad6-417447.png 110.83kb
| | | └──1710580584854-1518ec47-0718-4fb8-9de9-bc764179b791-328321.png 108.17kb
| ├──Baichuan2大模型.md 17.15kb
| ├──Llama2大模型.md 7.46kb
| ├──阿里Qwen-VL多模态大模型.md 17.62kb
| ├──阿里QWEN大语言模型.md 47.32kb
| ├──基于Langchain与ChatGLM等语言模型的本地知识库问答.md 4.17kb
| └──清华ChatGLM3开源大语言模型.md 11.99kb
├──数据结构与算法
| ├──img
| | └──IyfpsiZeZmxqz665
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| | | └──1722921570634-fcab5bfe-d8c6-4ff2-99ad-5b6b9ff1b948-807974.gif 1.48M
| ├──LeetCode精选
| | ├──img
| | | ├──-hi9YFO_qSBrxI2n
| | | ├──0LTmHByxSQ0bN9RQ
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| | | ├──S9RgFz13l4_HOzmT
| | | ├──sryJVfnMEc34V6aY
| | | ├──tZ8SvAOaQ4s-M19N
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| | | ├──VRsy36-sd4SnPecD
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| | | ├──w5S8FXTsV-w4a5Un
| | | ├──wZinGLiO563Hdr3N
| | | ├──YmgkofZZ9Qdf9PSQ
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| | | ├──YYw0N8Jia0JaebBB
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| | | ├──_8b6ZFftZIb10Vu3
| | | └──_qcSzbQ3CkUVOUKN
| | ├──LeetCode_0001_简单_两数之和.md 1.92kb
| | ├──LeetCode_0002_中等_两数相加.md 3.16kb
| | ├──LeetCode_0003_中等_无重复字符的最长子串.md 1.94kb
| | ├──LeetCode_0004_困难_寻找两个正序数组的中位数.md 3.99kb
| | ├──LeetCode_0005_中等_最长回文子串.md 5.92kb
| | ├──LeetCode_0010_困难_正则表达式匹配.md 2.92kb
| | ├──LeetCode_0011_中等_盛最多水的容器.md 1.91kb
| | ├──LeetCode_0015_中等_三数之和.md 2.55kb
| | ├──LeetCode_0016_中等_最接近的三数之和.md 3.56kb
| | ├──LeetCode_0017_中等_电话号码的字母组合.md 1.94kb
| | ├──LeetCode_0019_中等_删除链表的倒数第N个结点.md 2.15kb
| | ├──LeetCode_0020_简单_有效的括号.md 1.56kb
| | ├──LeetCode_0021_简单_合并两个有序链表.md 2.40kb
| | ├──LeetCode_0022_中等_括号生成.md 3.31kb
| | ├──LeetCode_0023_困难_合并K个升序链表.md 3.39kb
| | ├──LeetCode_0025_困难_K个一组翻转链表.md 2.56kb
| | ├──LeetCode_0029_中等_两数相除.md 2.72kb
| | ├──LeetCode_0031_中等_下一个排列.md 2.63kb
| | ├──LeetCode_0032_困难_最长有效括号.md 2.29kb
| | ├──LeetCode_0033_中等_搜索旋转排序数组.md 2.49kb
| | ├──LeetCode_0034_中等_在排序数组中查找元素的第一个和最后一个位置.md 2.73kb
| | ├──LeetCode_0039_中等_组合总和.md 2.54kb
| | ├──LeetCode_0040_中等_组合总和II.md 1.91kb
| | ├──LeetCode_0042_困难_接雨水.md 2.74kb
| | ├──LeetCode_0046_中等_全排列.md 2.71kb
| | ├──LeetCode_0047_中等_全排列II.md 3.58kb
| | ├──LeetCode_0049_中等_字母异位词分组.md 1.87kb
| | ├──LeetCode_0053_简单_最大子数组和.md 1.66kb
| | ├──LeetCode_0064_中等_最小路径和.md 2.89kb
| | ├──LeetCode_0069_简单_x的平方根.md 1.78kb
| | ├──LeetCode_0070_简单_爬楼梯.md 1.69kb
| | ├──LeetCode_0072_困难_编辑距离.md 3.74kb
| | ├──LeetCode_0086_中等_分隔链表.md 2.15kb
| | ├──LeetCode_0091_中等_解码方法.md 2.52kb
| | ├──LeetCode_0096_中等_不同的二叉搜索树.md 1.89kb
| | ├──LeetCode_0098_中等_验证二叉搜索树.md 1.63kb
| | ├──LeetCode_0104_简单_二叉树的最大深度.md 1.66kb
| | ├──LeetCode_0110_简单_平衡二叉树.md 2.27kb
| | ├──LeetCode_0111_简单_二叉树的最小深度.md 1.87kb
| | ├──LeetCode_0112_简单_路径总和.md 1.63kb
| | ├──LeetCode_0113_中等_路径总和II.md 1.60kb
| | ├──LeetCode_0120_中等_三角形最小路径和.md 2.55kb
| | ├──LeetCode_0121_简单_买卖股票的最佳时机.md 2.29kb
| | ├──LeetCode_0122_中等_买卖股票的最佳时机II.md 3.38kb
| | ├──LeetCode_0123_困难_买卖股票的最佳时机III.md 3.92kb
| | ├──LeetCode_0124_困难_二叉树中的最大路径和.md 3.46kb
| | ├──LeetCode_0129_中等_求根节点到叶节点数字之和.md 1.74kb
| | ├──LeetCode_0143_中等_重排链表.md 3.24kb
| | ├──LeetCode_0152_中等_乘积最大子数组.md 1.91kb
| | ├──LeetCode_0167_简单_两数之和II-输入有序数组.md 2.17kb
| | ├──LeetCode_0187_中等_重复的DNA序列.md 3.64kb
| | ├──LeetCode_0198_中等_打家劫舍.md 2.38kb
| | ├──LeetCode_0206_简单_反转链表.md 1.04kb
| | ├──LeetCode_0213_中等_打家劫舍II.md 1.87kb
| | ├──LeetCode_0215_中等_数组中的第K个最大元素.md 2.03kb
| | ├──LeetCode_0239_困难_滑动窗口最大值.md 1.71kb
| | ├──LeetCode_0240_中等_搜索二维矩阵II.md 1.77kb
| | ├──LeetCode_0257_简单_二叉树的所有路径.md 1.48kb
| | ├──LeetCode_0279_中等_完全平方数.md 4.89kb
| | ├──LeetCode_0300_中等_最长递增子序列.md 4.89kb
| | ├──LeetCode_0322_中等_零钱兑换.md 2.89kb
| | ├──LeetCode_0337_中等_打家劫舍III.md 2.04kb
| | ├──LeetCode_0343_中等_整数拆分.md 3.74kb
| | ├──LeetCode_0352_困难_将数据流变为多个不相交区间.md 5.60kb
| | ├──LeetCode_0434_简单_字符串中的单词数.md 1.32kb
| | ├──LeetCode_0437_中等_路径总和III.md 4.49kb
| | ├──LeetCode_0441_简单_排列硬币.md 1.96kb
| | ├──LeetCode_0474_中等_一和零.md 3.49kb
| | ├──LeetCode_0496_简单_下一个更大元素.md 3.09kb
| | ├──LeetCode_0518_中等_零钱兑换II.md 2.65kb
| | ├──LeetCode_0611_中等_有效三角形的个数.md 1.78kb
| | ├──LeetCode_0859_简单_亲密字符串.md 2.96kb
| | ├──LeetCode_0876_简单_链表的中间结点.md 2.03kb
| | ├──LeetCode_0915_中等_分割数组.md 3.53kb
| | ├──LeetCode_0958_中等_二叉树的完全性检验.md 4.24kb
| | └──LeetCode_0988_中等_从叶结点开始的最小字符串.md 3.06kb
| ├──10大经典排序算法(Python实现版).md 17.64kb
| ├──LeetCode面试最常考100题（按分类排序）.md 43.28kb
| ├──LeetCode面试最常考200题（按分类排序）.md 74.23kb
| ├──LeetCode题解（按分类排序）.md 172.90kb
| ├──LeetCode题解（字典序排序）.md 229.26kb
| └──这些年背过的LeetCode面试题精选总结.md 28.96kb
├──算法高频岗试题
| ├──100道大模型面试八股文.md 5.42kb
| ├──41道高频面试题.md 2.05kb
| ├──大模型面经指南.md 120.58kb
| └──大模型算法岗面试题（含答案）总结.md 68.30kb
├──最新面试题
| └──最新面试题总结.md 3.92kb
├──index.md 20.39kb
└──progress.json 100.85kb
