DropToZeroDon'tCry
Starting from first principles: Why #AI Trading should not predict price movements
1. Breaking down AI: What are large models really doing?
Many people consider large models as "thinking black boxes," but from a computational perspective, they do only one thing:
Calculate similarity in high-dimensional vector space.
All inputs (#token , images, time series) are mapped into vectors;
All "understanding" and "reasoning" are essentially vector dot products + nonlinear transformations.
The core of Transformer is not "intelligence," but:
Compress inputs into vectors
Compute similarities between vect
View Original1. Breaking down AI: What are large models really doing?
Many people consider large models as "thinking black boxes," but from a computational perspective, they do only one thing:
Calculate similarity in high-dimensional vector space.
All inputs (#token , images, time series) are mapped into vectors;
All "understanding" and "reasoning" are essentially vector dot products + nonlinear transformations.
The core of Transformer is not "intelligence," but:
Compress inputs into vectors
Compute similarities between vect
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