tl.where(mask, x, 0) does: conditional select to handle boundary conditions

tl.arange(0, BLOCK_SIZE) creates: a range of indices within the current block

`tl.arange(0, BLOCK_SIZE)` creates a range of indices from 0 to BLOCK_SIZE-1

classifier-free guidance does: interpolates between conditional and unconditional generation

"Classifies samples as either conditioned or unconditioned, guiding generation towards desired outcomes."

Bloom filter

Bloom filters check if an element is possibly in a set with high probability, avoiding false negatives

tl.program_id(0) returns: the index of the current parallel block

tl.program_id(0) returns: the index of the current parallel block

KL divergence is always ≥ 0 and equals 0 only when P = Q exactly

KL divergence measures the difference between two distributions P and Q; it is always non-negative and zero if and only if P equals Q exactly

the condition number κ(A) measures: sensitivity of Ax=b to perturbations

The condition number κ(A) measures the sensitivity of Ax=b to perturbations