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Generative AI Tutorial

Explore AI, machine learning, GPT, tokens, embeddings, attention, and the core foundations of modern generative AI.

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Generative AI Tutorial lessons
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Start with What Is Artificial Intelligence?
01

What Is Artificial Intelligence?

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02

Machine Learning Basics

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03

Deep Learning Basics

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04

What Is Generative AI?

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05

What Is a Language Model?

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06

What Is an LLM?

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07

Why ChatGPT Feels Intelligent

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08

What Does GPT Stand For?

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09

GPT Architecture

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10

How ChatGPT Works Internally

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11

Why GPT Answers Vary Every Time

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12

GPT Context Window

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13

What Is Hallucination in AI?

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14

GPT Strengths and Limitations

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15

What Is a Token in GPT?

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16

Why Tokenization Is Needed

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17

Types of Tokens in GPT

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18

Token Limits

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19

Tokens and API Cost

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20

Encoding and Decoding

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21

Simple Tokenizer Logic

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22

Problems with RNN and LSTM

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23

What Is Attention in AI?

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24

Self-Attention

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25

Multi-Head Attention

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26

What Are Vector Embeddings?

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27

Why Embeddings Are Powerful

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28

Positional Encoding

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29

Tokens vs Embeddings vs Attention

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30

AI Mental Model

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