
Rank-nullity theorem: Rank(A) + Nullity(A) = Number of columns (n) in A
Rank-nullity theorem: Rank(A) + Nullity(A) = Number of columns (n) in A
What the Cayley-Hamilton theorem says: every matrix satisfies its own characteristic equation
Cayley-Hamilton theorem: A square matrix satisfies its characteristic polynomial
What LoRA does — adds trainable low-rank matrices A and B where ΔW = BA
LoRA: Augments model weights with low-rank matrices A, B, ΔW = BA
Why the determinant tells you about volume scaling under a linear transformation
Determinant indicates volume change factor by the linear transformation's scaling effect
What multi-query attention (MQA) is — all Q heads share a single KV head
MQA: Multi-query attention with shared key-value head for efficient cross-query processing
What IS (Inception Score) measures: diversity and quality of generated images
Inception Score quantifies image diversity and generated images' quality
What numpy.arange(0, num_elements) creates: an array of evenly spaced values within the specified range, used for indexing or iteration purposes?
`numpy.arange(0, num_elements)` creates an array of `num_elements` evenly spaced values starting from 0
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