官网地址:https://www.aiexplorer.blog/
- AI能力私有化部署指南
- 深度学习算法原理讲解
- Pytorch深度学习算法开发教程
- Hugging face Transformer系列教程
LetsAskAI(AI助手):http://www.aiadvice.top/
特性:
项目介绍:https://github.com/ExpressGit/LetAsKAI
日期 |
标题 |
封面 |
时长 |
视频(播放数) |
8/27/23 |
Transformer-day06-模型微调 P-Tuning |
![](images/transformer-day06.jpg) |
17:41 |
![bilibili](https://camo.githubusercontent.com/bcdbff5259a9a20584c69451c84ed11ab92287e0998c881206a34f4eca8ddcd6/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f64796e616d69632f6a736f6e3f6c6162656c3d7669657773267374796c653d736f6369616c266c6f676f3d62696c6962696c692671756572793d646174612e737461742e766965772675726c3d68747470732533412532462532466170692e62696c6962696c692e636f6d253246782532467765622d696e746572666163652532467669657725334662766964253344425631763134793143374b73) |
8/24/23 |
Transformer-day05-模型微调(Frezee) |
![](images/transformer-day05.jpg) |
13:34 |
![bilibili](https://camo.githubusercontent.com/f5850df2f1fec4b6011d1951bfe4dfff742c3cca1f140219ec3da70dde4cc9f6/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f64796e616d69632f6a736f6e3f6c6162656c3d7669657773267374796c653d736f6369616c266c6f676f3d62696c6962696c692671756572793d646174612e737461742e766965772675726c3d68747470732533412532462532466170692e62696c6962696c692e636f6d253246782532467765622d696e74657266616365253246766965772533466276696425334442563171683479315537324d) |
8/15/23 |
Transformer-day04-模型&分词器 |
![](images/transformer-day04.jpg) |
17:29 |
![bilibili](https://camo.githubusercontent.com/f75ad1192c6647a0a5d10daf6601ac06eb4de71a381ae5b5f4d9167b6659a263/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f64796e616d69632f6a736f6e3f6c6162656c3d7669657773267374796c653d736f6369616c266c6f676f3d62696c6962696c692671756572793d646174612e737461742e766965772675726c3d68747470732533412532462532466170692e62696c6962696c692e636f6d253246782532467765622d696e746572666163652532467669657725334662766964253344425631485834793178377345) |
8/12/23 |
Transformer-day03-pipeline(流水线) |
![](images/transformer-day03.jpg) |
16:36 |
![bilibili](https://camo.githubusercontent.com/61d932b1bf0e4c78361628b4296883b866a41cb98c0213870bdfcd374b847670/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f64796e616d69632f6a736f6e3f6c6162656c3d7669657773267374796c653d736f6369616c266c6f676f3d62696c6962696c692671756572793d646174612e737461742e766965772675726c3d68747470732533412532462532466170692e62696c6962696c692e636f6d253246782532467765622d696e74657266616365253246766965772533466276696425334442563156723479315a377278) |
8/09/23 |
transformer-day02-模型详解 |
![](images/transformer-day02.jpg) |
10:54 |
![bilibili](https://camo.githubusercontent.com/d1b3219408a68552d5ef78f12ce867aa79ac3fd8bf1754679ac8d75efa456835/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f64796e616d69632f6a736f6e3f6c6162656c3d7669657773267374796c653d736f6369616c266c6f676f3d62696c6962696c692671756572793d646174612e737461742e766965772675726c3d68747470732533412532462532466170692e62696c6962696c692e636f6d253246782532467765622d696e746572666163652532467669657725334662766964253344425631627034793147375937) |
8/07/23 |
transformer-day01-起源&介绍 |
![](images/transformer-day01.jpg) |
10:54 |
![bilibili](https://camo.githubusercontent.com/3cd28ec541fc82ccd8b89dec6ab24a441a24cfa20105b95b967f8707579dab47/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f64796e616d69632f6a736f6e3f6c6162656c3d7669657773267374796c653d736f6369616c266c6f676f3d62696c6962696c692671756572793d646174612e737461742e766965772675726c3d68747470732533412532462532466170692e62696c6962696c692e636f6d253246782532467765622d696e746572666163652532467669657725334662766964253344425631356d34793173376138) |
日期 |
标题 |
封面 |
时长 |
视频(播放数) |
8/01/23 |
【up推荐】如何零代码构建 LLM 私有化服务 |
![](images/09-llm.jpg) |
07:56 |
![bilibili](https://camo.githubusercontent.com/b820a80eb94354d7b121ef9d6a73f9a2a6540dd4fc662dfdd20b43fc87be21a4/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f64796e616d69632f6a736f6e3f6c6162656c3d7669657773267374796c653d736f6369616c266c6f676f3d62696c6962696c692671756572793d646174612e737461742e766965772675726c3d68747470732533412532462532466170692e62696c6962696c692e636f6d253246782532467765622d696e746572666163652532467669657725334662766964253344425631323834313132376663) |
7/28/23 |
5 分钟部署免费私有化的 Llama2中文版(可商用) |
![](images/08-llama.jpg) |
07:22 |
![bilibili](https://camo.githubusercontent.com/cca682c69a5427cd0d0959c7674079881906d159c42e36b4c66ec18bbfccd390/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f64796e616d69632f6a736f6e3f6c6162656c3d7669657773267374796c653d736f6369616c266c6f676f3d62696c6962696c692671756572793d646174612e737461742e766965772675726c3d68747470732533412532462532466170692e62696c6962696c692e636f6d253246782532467765622d696e74657266616365253246766965772533466276696425334442563137683479313537384e) |
5/16/23 |
如何快手上手媲美GPT4的ClaudeAI |
![](images/claude.jpg) |
07:27 |
![bilibili](https://camo.githubusercontent.com/a5f68c9b03af95fde838676421bd793317176d7aab8b41bbf1f504ef9ae2dda8/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f64796e616d69632f6a736f6e3f6c6162656c3d7669657773267374796c653d736f6369616c266c6f676f3d62696c6962696c692671756572793d646174612e737461742e766965772675726c3d68747470732533412532462532466170692e62696c6962696c692e636f6d253246782532467765622d696e7465726661636525324676696577253346627669642533444256316f6834313163376135) |
4/27/23 |
MiniGPT-4为什么可以看图说话 |
![](images/05-AIHot.jpg) |
07:18 |
![bilibili](https://camo.githubusercontent.com/4fa5254b37735c761641bd675e82bfbb40fee424944ef9ab2eecead17fc2a16a/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f64796e616d69632f6a736f6e3f6c6162656c3d7669657773267374796c653d736f6369616c266c6f676f3d62696c6962696c692671756572793d646174612e737461742e766965772675726c3d68747470732533412532462532466170692e62696c6962696c692e636f6d253246782532467765622d696e746572666163652532467669657725334662766964253344425631774d34313147373465) |
4/25/23 |
快速了解ChatGPT-Academic |
![](images/04-AIHot.jpg) |
07:18 |
![bilibili](https://camo.githubusercontent.com/5002dbc3146dbef369bc2f54370d7a0b361901e0bbda509e72f9df37823e4574/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f64796e616d69632f6a736f6e3f6c6162656c3d7669657773267374796c653d736f6369616c266c6f676f3d62696c6962696c692671756572793d646174612e737461742e766965772675726c3d68747470732533412532462532466170692e62696c6962696c692e636f6d253246782532467765622d696e7465726661636525324676696577253346627669642533444256316d683431316a376d67) |
4/21/23 |
5分钟部署中文版ChatGLM(工程代码已优化) |
![](images/03-AIHot.jpg) |
07:18 |
![bilibili](https://camo.githubusercontent.com/33119b3bfa6fd771f992ebf84874d77476f86b99d3f3a3ca29b9c9c3e1836cf4/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f64796e616d69632f6a736f6e3f6c6162656c3d7669657773267374796c653d736f6369616c266c6f676f3d62696c6962696c692671756572793d646174612e737461742e766965772675726c3d68747470732533412532462532466170692e62696c6962696c692e636f6d253246782532467765622d696e746572666163652532467669657725334662766964253344425631596b34793161377455) |
4/18/23 |
5分钟一键部署万能Auto-GPT |
![](images/02-AIHot.jpg) |
07:18 |
![bilibili](https://camo.githubusercontent.com/81ef8db16ca976c8c1ff58eb67ed6796d4bf25fbe9f638445449e02e21b8aee3/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f64796e616d69632f6a736f6e3f6c6162656c3d7669657773267374796c653d736f6369616c266c6f676f3d62696c6962696c692671756572793d646174612e737461742e766965772675726c3d68747470732533412532462532466170692e62696c6962696c692e636f6d253246782532467765622d696e746572666163652532467669657725334662766964253344425631414c34313176375448) |
4/16/23 |
5分钟部署免费、免翻墙、本地化ChatGPT指南 |
![](images/01-AIHot.jpg) |
11:32 |
![bilibili](https://camo.githubusercontent.com/e4e4fca28be8801d2a0a5ddf9f98d397ce657dd47ee43108d7e1fe3fbe7a1f44/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f64796e616d69632f6a736f6e3f6c6162656c3d7669657773267374796c653d736f6369616c266c6f676f3d62696c6962696c692671756572793d646174612e737461742e766965772675726c3d68747470732533412532462532466170692e62696c6962696c692e636f6d253246782532467765622d696e7465726661636525324676696577253346627669642533444256316d6f34793138374c35) |
日期 |
标题 |
封面 |
时长 |
视频(播放数) |
3/28/23 |
深度学习-02-BP-反向传播 |
![](images/深度学习-02.jpg) |
11:32 |
![bilibili](https://camo.githubusercontent.com/40509f21e554b56ac2f15ef15312e3ef31967f67e1d8c1a1cfcb801f6e8264c4/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f64796e616d69632f6a736f6e3f6c6162656c3d7669657773267374796c653d736f6369616c266c6f676f3d62696c6962696c692671756572793d646174612e737461742e766965772675726c3d68747470732533412532462532466170692e62696c6962696c692e636f6d253246782532467765622d696e746572666163652532467669657725334662766964253344425631563834793167376e74) |
3/25/23 |
深度学习-01-神经网络-neural network |
![](images/深度学习-01.jpg) |
22:08 |
![bilibili](https://camo.githubusercontent.com/26414de40d8f2568badd48d706a53a2cedf92ba4fee56b0ae27a493da5c939ed/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f64796e616d69632f6a736f6e3f6c6162656c3d7669657773267374796c653d736f6369616c266c6f676f3d62696c6962696c692671756572793d646174612e737461742e766965772675726c3d68747470732533412532462532466170692e62696c6962696c692e636f6d253246782532467765622d696e746572666163652532467669657725334662766964253344425631525634793158377179) |
日期 |
标题 |
封面 |
时长 |
视频(播放数) |
3/23/23 |
通俗易懂-三哥讲机器学习-15-机器学习-K近邻算法-KNN |
![](images/15-机器学习.jpg) |
07:39 |
![bilibili](https://camo.githubusercontent.com/006b72aad0ca5fa0cc0ae4d4e257f482dff58145bc156aad144c463bdab65162/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f64796e616d69632f6a736f6e3f6c6162656c3d7669657773267374796c653d736f6369616c266c6f676f3d62696c6962696c692671756572793d646174612e737461742e766965772675726c3d68747470732533412532462532466170692e62696c6962696c692e636f6d253246782532467765622d696e7465726661636525324676696577253346627669642533444256316d6d3479316b376757) |
3/22/23 |
通俗易懂-三哥讲机器学习-14-机器学习-聚类算法-Clustering |
![](images/14-机器学习.jpg) |
15:35 |
![bilibili](https://camo.githubusercontent.com/f5fb5d028682aea83c4f97766445809eb1ed2d7d15ff0ebc10d1378382d635a8/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f64796e616d69632f6a736f6e3f6c6162656c3d7669657773267374796c653d736f6369616c266c6f676f3d62696c6962696c692671756572793d646174612e737461742e766965772675726c3d68747470732533412532462532466170692e62696c6962696c692e636f6d253246782532467765622d696e746572666163652532467669657725334662766964253344425631453834793133376e54) |
3/19/23 |
通俗易懂-三哥讲机器学习-13-机器学习-最大期望算法-EM-LossFunction |
![](images/13-机器学习.jpg) |
14:54 |
![bilibili](https://camo.githubusercontent.com/396e3b55813cc1508b5e4f3da3bf9b797aabe9bae713d017b495b311ef0e495e/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f64796e616d69632f6a736f6e3f6c6162656c3d7669657773267374796c653d736f6369616c266c6f676f3d62696c6962696c692671756572793d646174612e737461742e766965772675726c3d68747470732533412532462532466170692e62696c6962696c692e636f6d253246782532467765622d696e746572666163652532467669657725334662766964253344425631725934793158376277) |
3/17/23 |
通俗易懂-三哥讲机器学习-12-机器学习-损失函数-LossFunction |
![](images/12-机器学习.jpg) |
11:41 |
![bilibili](https://camo.githubusercontent.com/9f599af06cd82da612366341733c7212026ba44571db63fe8f33ea58c9531634/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f64796e616d69632f6a736f6e3f6c6162656c3d7669657773267374796c653d736f6369616c266c6f676f3d62696c6962696c692671756572793d646174612e737461742e766965772675726c3d68747470732533412532462532466170692e62696c6962696c692e636f6d253246782532467765622d696e746572666163652532467669657725334662766964253344425631753534793154373957) |
3/15/23 |
通俗易懂-三哥讲机器学习-11-机器学习-模型评估 |
![](images/11-机器学习.jpg) |
14:16 |
![bilibili](https://camo.githubusercontent.com/31243702745d7bd21cddda1dfb3f98772791e1aeeb9221eeb3723a8d74e2704e/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f64796e616d69632f6a736f6e3f6c6162656c3d7669657773267374796c653d736f6369616c266c6f676f3d62696c6962696c692671756572793d646174612e737461742e766965772675726c3d68747470732533412532462532466170692e62696c6962696c692e636f6d253246782532467765622d696e746572666163652532467669657725334662766964253344425631384d34793172374751) |
3/14/23 |
通俗易懂-三哥讲机器学习-10-机器学习-朴素贝叶斯-Naive Bayes |
![](images/10-机器学习.jpg) |
14:06 |
![bilibili](https://camo.githubusercontent.com/4d4b6015e4d50aca31cb4dd9704abd7060584f1666caeb2091cc420abd3199fa/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f64796e616d69632f6a736f6e3f6c6162656c3d7669657773267374796c653d736f6369616c266c6f676f3d62696c6962696c692671756572793d646174612e737461742e766965772675726c3d68747470732533412532462532466170692e62696c6962696c692e636f6d253246782532467765622d696e746572666163652532467669657725334662766964253344425631704c3431316b376138) |
3/12/23 |
通俗易懂-三哥讲机器学习-09-机器学习-支持向量机-SVM |
![](images/09-机器学习.jpg) |
19:07 |
![bilibili](https://camo.githubusercontent.com/8b74d151131ce13d9ca223c1f6cf34fb8f5023954e7f00a424b0b77e83c1ebd4/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f64796e616d69632f6a736f6e3f6c6162656c3d7669657773267374796c653d736f6369616c266c6f676f3d62696c6962696c692671756572793d646174612e737461742e766965772675726c3d68747470732533412532462532466170692e62696c6962696c692e636f6d253246782532467765622d696e746572666163652532467669657725334662766964253344425631705934793139377a72) |
3/11/23 |
通俗易懂-三哥讲机器学习-08-机器学习-LightGBM |
![](images/08-机器学习.jpg) |
22:18 |
![bilibili](https://camo.githubusercontent.com/548978bead3a7f803cb8bea9c93992cc45843e2a549b9abfcc90cb98556f0552/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f64796e616d69632f6a736f6e3f6c6162656c3d7669657773267374796c653d736f6369616c266c6f676f3d62696c6962696c692671756572793d646174612e737461742e766965772675726c3d68747470732533412532462532466170692e62696c6962696c692e636f6d253246782532467765622d696e746572666163652532467669657725334662766964253344425631376f34793142377254) |
3/10/23 |
通俗易懂-三哥讲机器学习-07-机器学习-XGBoost-eXtreme Gradient Boosting |
![](images/07-机器学习.jpg) |
26:58 |
![bilibili](https://camo.githubusercontent.com/343cc07f231ab63d3016c1c39dd21f8bfbb22a66614e6a5e1e93e690700f9279/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f64796e616d69632f6a736f6e3f6c6162656c3d7669657773267374796c653d736f6369616c266c6f676f3d62696c6962696c692671756572793d646174612e737461742e766965772675726c3d68747470732533412532462532466170692e62696c6962696c692e636f6d253246782532467765622d696e746572666163652532467669657725334662766964253344425631353234793167377633) |
3/07/23 |
通俗易懂-三哥讲机器学习-06-机器学习-回归树-Regression Tree |
![](images/06-机器学习.jpg) |
13:38 |
![bilibili](https://camo.githubusercontent.com/747a6f6b9aa0bbc6a0f6bd2efb245945696807b4252030eb48cc532da842f8a9/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f64796e616d69632f6a736f6e3f6c6162656c3d7669657773267374796c653d736f6369616c266c6f676f3d62696c6962696c692671756572793d646174612e737461742e766965772675726c3d68747470732533412532462532466170692e62696c6962696c692e636f6d253246782532467765622d696e746572666163652532467669657725334662766964253344425631384d3479316b374c67) |
3/05/23 |
通俗易懂-三哥讲机器学习-05-机器学习-梯度提升决策树-GBDT |
![](images/05-机器学习.jpg) |
11:32 |
![bilibili](https://camo.githubusercontent.com/9c37db64fd714b61880d2ddcaad51287ed04104508edf9ebf8bd405ebbf6667a/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f64796e616d69632f6a736f6e3f6c6162656c3d7669657773267374796c653d736f6369616c266c6f676f3d62696c6962696c692671756572793d646174612e737461742e766965772675726c3d68747470732533412532462532466170692e62696c6962696c692e636f6d253246782532467765622d696e7465726661636525324676696577253346627669642533444256314a3834793150374d61) |
3/05/23 |
通俗易懂-三哥讲机器学习-04-机器学习-随机森林-RandomForest |
![](images/04-机器学习.jpg) |
07:09 |
![bilibili](https://camo.githubusercontent.com/de4bb9171a2ae9a1f73aa99e5a1e0dfd5903e55d5109984b7650eac0b912e9e9/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f64796e616d69632f6a736f6e3f6c6162656c3d7669657773267374796c653d736f6369616c266c6f676f3d62696c6962696c692671756572793d646174612e737461742e766965772675726c3d68747470732533412532462532466170692e62696c6962696c692e636f6d253246782532467765622d696e746572666163652532467669657725334662766964253344425631557634793168377136) |
3/04/23 |
通俗易懂-三哥讲机器学习-03-机器学习-决策树-DecisionTree |
![](images/03-机器学习.jpg) |
26:05 |
![bilibili](https://camo.githubusercontent.com/6513b8f2c22692ce03758409d075859706a2c5d10abcd4057ba0862cbb2a6956/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f64796e616d69632f6a736f6e3f6c6162656c3d7669657773267374796c653d736f6369616c266c6f676f3d62696c6962696c692671756572793d646174612e737461742e766965772675726c3d68747470732533412532462532466170692e62696c6962696c692e636f6d253246782532467765622d696e7465726661636525324676696577253346627669642533444256314e6234313151373255) |
3/02/23 |
通俗易懂-三哥讲机器学习-02机器学习-逻辑回归-LogisticRegression |
![](images/02-机器学习.jpg) |
10:48 |
![bilibili](https://camo.githubusercontent.com/e48c4d8f2df5c9302343923e00ec89fbdd3a104152c0aa398200ac3e2acad312/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f64796e616d69632f6a736f6e3f6c6162656c3d7669657773267374796c653d736f6369616c266c6f676f3d62696c6962696c692671756572793d646174612e737461742e766965772675726c3d68747470732533412532462532466170692e62696c6962696c692e636f6d253246782532467765622d696e7465726661636525324676696577253346627669642533444256314c6734793145374854) |
3/02/23 |
通俗易懂-三哥讲机器学习-01机器学习-线性回归-LinearRegression |
![](images/01-机器学习.jpg) |
08:43 |
![bilibili](https://camo.githubusercontent.com/b537a4b6b589aa2d8bd4acb28d18c58df762af3bb34fa7b544db809ec958cbef/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f64796e616d69632f6a736f6e3f6c6162656c3d7669657773267374796c653d736f6369616c266c6f676f3d62696c6962696c692671756572793d646174612e737461742e766965772675726c3d68747470732533412532462532466170692e62696c6962696c692e636f6d253246782532467765622d696e7465726661636525324676696577253346627669642533444256316f4434793175375538) |
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