love how clearly vibecoded this is. the cloudflare worker architecture + the ascii diagram is a dead giveaway. nothing wrong with that, it's just really obvious. the split architecture offers absolutely zero security…
"some" is doing a lot of lifting. # of tokens * # of layers * head dimension * # of heads * 2 (K+V vectors) * 4-16bits (depending on quantization)
> How many Matlab users know things could be better? not very many in my experience - matlab rots the brain
the subclass of "Reproducing kernel Hilbert spaces" form the basis for a large class of ML algorithms (kernel methods)
why? i like Julia but it's not a great general purpose language IMO.
the CUDA library versions are very coupled to the hosts' CUDA driver versions and the container system itself (Docker) needs special code to link the two
It's more related to the law of large numbers than the CLT
The generator implicitly models a joint probability of data by being a generative process that one can draw samples from. GAN training (at least under certain simplifying assumptions) minimizes the JS divergence between…
love how clearly vibecoded this is. the cloudflare worker architecture + the ascii diagram is a dead giveaway. nothing wrong with that, it's just really obvious. the split architecture offers absolutely zero security…
"some" is doing a lot of lifting. # of tokens * # of layers * head dimension * # of heads * 2 (K+V vectors) * 4-16bits (depending on quantization)
> How many Matlab users know things could be better? not very many in my experience - matlab rots the brain
the subclass of "Reproducing kernel Hilbert spaces" form the basis for a large class of ML algorithms (kernel methods)
why? i like Julia but it's not a great general purpose language IMO.
the CUDA library versions are very coupled to the hosts' CUDA driver versions and the container system itself (Docker) needs special code to link the two
It's more related to the law of large numbers than the CLT
The generator implicitly models a joint probability of data by being a generative process that one can draw samples from. GAN training (at least under certain simplifying assumptions) minimizes the JS divergence between…