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Foundations

What a neural network isnot yet
Weights, and what they holdnot yet
How training worksnot yet
Inference: running a trained modelnot covered yet

Language models

Tokensnot yet
The context windownot yet
Attention and transformersnot yet
Predicting the next wordnot covered yet
Embeddings and vectorsnot covered yet

Making them useful

Promptingnot yet
Chains and agentsnot yet
Fine-tuning and adaptersnot covered yet
Retrievalnot covered yet
Tool use and MCPnot covered yet

Running them

GPUs and the siliconnot yet
Data centresnot yet
What it costsnot yet
Open weightsnot yet
Making it cheapernot covered yet

The industry

Who is paying for itnot yet
Borders and accessnot yet
Who the players arenot yet

What follows

Energy and waternot yet
Worknot yet
Law and regulationnot yet
Safety and alignmentnot covered yet

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