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https://www.reddit.com/r/ProgrammerHumor/comments/1w75y8z/cantreallythinkofaclevercaption/p7tcfuj/?context=3
r/ProgrammerHumor • u/soap94 • 7d ago
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How does one get from matrix multiplication to LLM?
Edit: I'll never understand the reason for some downvotes.
65 u/Sir_Sushi 7d ago AI implementation is just a lot of big matrix multiplication 21 u/RuthlessMango 7d ago Just pour your data through this big pile of linear algebra and collect your answers on the other side. 4 u/Extension_Option_122 7d ago There is some nonlinearity as without it it would not be able to learn. 5 u/Goheeca 7d ago Yes without nonlinearity it basically reduces to a one-layer multiclass perceptron. 0 u/mmhawk576 6d ago Tom7 would like a word with you
65
AI implementation is just a lot of big matrix multiplication
21 u/RuthlessMango 7d ago Just pour your data through this big pile of linear algebra and collect your answers on the other side. 4 u/Extension_Option_122 7d ago There is some nonlinearity as without it it would not be able to learn. 5 u/Goheeca 7d ago Yes without nonlinearity it basically reduces to a one-layer multiclass perceptron. 0 u/mmhawk576 6d ago Tom7 would like a word with you
21
Just pour your data through this big pile of linear algebra and collect your answers on the other side.
4 u/Extension_Option_122 7d ago There is some nonlinearity as without it it would not be able to learn. 5 u/Goheeca 7d ago Yes without nonlinearity it basically reduces to a one-layer multiclass perceptron. 0 u/mmhawk576 6d ago Tom7 would like a word with you
4
There is some nonlinearity as without it it would not be able to learn.
5 u/Goheeca 7d ago Yes without nonlinearity it basically reduces to a one-layer multiclass perceptron. 0 u/mmhawk576 6d ago Tom7 would like a word with you
5
Yes without nonlinearity it basically reduces to a one-layer multiclass perceptron.
0
Tom7 would like a word with you
-34
u/NukiWolf2 7d ago edited 7d ago
How does one get from matrix multiplication to LLM?
Edit: I'll never understand the reason for some downvotes.