The Truth About How ChatGPT Works

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ChatGPT can feel like it understands you, but what’s happening under the hood is much more mechanical. In this video, I explain how ChatGPT actually works. We’ll look at tokens, next-token prediction, transformers, attention, context windows, hallucinations, tools, file uploads, web search, memory, safety layers, and why ChatGPT is better understood as a full system, not just one model.

By the end, you’ll understand why ChatGPT can be brilliant, why it can be confidently wrong, why long conversations drift, and why tools like web search and file uploads change what it can do.

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Timestamps:
0:00 Why ChatGPT feels like it understands you
0:49 The model behind ChatGPT
1:04 How text becomes tokens
1:43 Next-token prediction
2:26 What the model learns during training
2:52 Transformers and attention
3:40 Context windows have limits
4:28 What takes up context
5:14 Why missing context causes mistakes
5:49 How responses are generated
6:30 Why ChatGPT hallucinates
7:13 Why tools matter
8:12 ChatGPT is a system, not one thing
8:40 How a model becomes an assistant
9:49 Why it still needs checking
10:24 The best mental model for ChatGPT
11:09 Get Insanely Good at AI


#webdevelopment #coding #programming
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