You don't need a computer science degree to understand AI. What you need is the will to stay ahead.
That's why I created this tutorial — to make AI truly accessible to everyone. Because like it or not, AI is reshaping the world right now. In the next 5 years, it will disrupt every industry, redefine jobs, and change how we live. And it's moving much faster than most people realize.
If you understand it, you won't just survive the shift — you'll be ready to lead in it.
We'll start from the ground up. The fundamentals — like vectors — may sound mystic, but they're the hidden language behind everything: your phone's keyboard suggestions, ChatGPT's answers, and even the algorithms that decide what you see online.
This is your entry point into the most important technology of our time. Let's begin.
我们不需要有计算机科学学位就能理解AI。但我们需要的是跟上甚至超越历史的潮流。
这就是我创建这个教程的原因，让AI真正变得人人可及。不管愿不愿意，AI正在改变这个世界。在接下来的5年里，它将颠覆每个行业，重新定义工作，改变我们的生活方式。而且它的发展速度远超大多数人的想象。
如果你理解了它，你不仅能在这个转变中生存下来，还能准备好迎接这个风口。
我们将从基础开始。这些基本概念，比如向量，听起来可能很陌生，但它们是所有技术背后的隐藏语言：你手机的键盘输入建议、ChatGPT的回答，甚至决定你在网上看到什么内容的算法。
这是你进入这个时代最重要技术的入口。让我们开始吧。
Everyone Can Learn AI
Vectors: The Language of AI
What is a Vector? Think 3D Space!
Remember playing with GPS? When you want to find a restaurant, you give coordinates like latitude, longitude, and altitude. That's a 3D vector! [X, Y, Z]
McDonald's
Location
Location
→
X: 40.7128
Y: 74.0060
Z: 10m
[40.7, 74.0, 10]
Y: 74.0060
Z: 10m
[40.7, 74.0, 10]
3 numbers describe exactly where something is in space!
How AI Uses Vectors for Words
AI treats words just like locations! Instead of X, Y, Z coordinates, words get hundreds of numbers that describe their "meaning location" in an invisible space.
King
→
[0.8, 0.3, 0.9, 0.1, 0.6, 0.4, 0.7, ...]
300+ numbers!
300+ numbers!
Each number captures a different aspect of meaning
Vectors are AI's Language
Just like humans use words to communicate, AI uses vectors (lists of numbers) to understand and process everything!
Word2Vec: Teaching AI About Word Relationships
Word2Vec is like a smart teacher that reads millions of books and learns which words hang out together. Words that appear in similar contexts get similar vectors!
Royal Family
King
Queen
Prince
Crown
Similar vectors!
Fruits
Apple
Banana
Orange
Sweet
Similar vectors!
The Magic Process
Here's how Word2Vec learns to speak the language of vectors:
Read millions of sentences from books, websites, articles
↓
Notice which words appear near each other
↓
Give similar numbers (vectors) to words with similar contexts
↓
Now AI can understand word relationships mathematically!
Real World Examples
You use Word2Vec every day without knowing it!
Google Search: When you type "best pizza," it also shows results for "delicious pizza" because their vectors are similar!
Spotify: Recommends songs by finding music with similar "taste vectors" to what you already like.
Amazon: "People who bought this also bought..." uses product vectors to find similar items.
ChatGPT: Understands your questions by converting them into vectors and finding the best vector responses!
Why This Matters
Understanding vectors is like learning the alphabet of AI. Once you get this, you can understand how all modern AI works!
Think of vectors as the universal translator that helps AI understand everything from words to images to sounds.
Next time you use any AI app, remember: behind the scenes, everything is being converted into vectors, the secret language that makes AI magic possible!
To be continued...
人人都能学AI
向量：AI的语言
什么是向量？想象3D空间！
还记得用导航找餐厅吗？你需要给出经度、纬度、海拔高度，这就是3D向量！[X, Y, Z]
麦当劳
位置
位置
→
X: 116.4074
Y: 39.9042
Z: 50米
[116.4, 39.9, 50]
Y: 39.9042
Z: 50米
[116.4, 39.9, 50]
3个数字就能精确描述空间中的任何位置！
AI如何用向量理解文字
AI把文字当作位置来处理！不是用X、Y、Z坐标，而是用数百个数字来描述词汇在无形"意义空间"中的位置。
国王
→
[0.8, 0.3, 0.9, 0.1, 0.6, 0.4, 0.7, ...]
300多个数字！
300多个数字！
每个数字都代表意义的一个不同方面
向量是AI的语言
就像人类用文字交流一样，AI用向量（数字列表）来理解和处理一切信息！
Word2Vec：教AI理解词汇关系
Word2Vec就像一个聪明的老师，阅读数百万本书，学习哪些词经常一起出现。在相似语境中出现的词会得到相似的向量！
皇室家族
国王
女王
王子
皇冠
相似向量！
水果
苹果
香蕉
橙子
甜的
相似向量！
神奇的学习过程
Word2Vec是这样学会说向量语言的：
阅读数百万句话，来自书籍、网站、文章
↓
观察哪些词经常在一起出现
↓
给语境相似的词分配相似的数字（向量）
↓
现在AI可以用数学方法理解词汇关系了！
身边的实际例子
你每天都在不知不觉中使用Word2Vec！
百度搜索： 当你搜"好吃的pizza"时，也会显示"美味的pizza"结果，因为它们的向量很相似！
网易云音乐： 通过找到与你喜欢音乐有相似"品味向量"的歌曲来推荐新歌。
淘宝： "买了这个的人还买了..."用商品向量找到相似产品。
ChatGPT： 把你的问题转换成向量，然后找到最佳的向量回答！
为什么这很重要
理解向量就像学会AI的字母表。一旦掌握了这个概念，你就能理解所有现代AI的工作原理！
把向量想象成通用翻译器，帮助AI理解从文字到图像到声音的一切事物。
下次使用任何AI应用时，记住：在幕后，所有东西都被转换成向量，这是让AI魔法成为可能的秘密语言！
To be continued...