foundation models & all things data
🎸 → @ratan.bsky.social
sakana.ai/ai-cuda-engi...
The AI CUDA Engineer can produce highly optimized CUDA kernels, reaching 10-100x speedup over common machine learning operations in PyTorch.
Examples:
sakana.ai/ai-cuda-engi...
The AI CUDA Engineer can produce highly optimized CUDA kernels, reaching 10-100x speedup over common machine learning operations in PyTorch.
Examples:
The unts in ANN are actually not a terrible approximation of how real neurons work!
A tiny 🧵.
🧠📈 #NeuroAI #MLSky
I've seen people suggesting it's problematic, that neuroscientists won't like it, and so on.
But, I literally don't see why this is problematic...
Coming from the "giants" of AI.
Or maybe this was posted out of context? Please clarify.
I can't process this...
github.com/brenocq/impl...
github.com/brenocq/impl...
Pre-registering any experiments/trials before research. (E.g., pre-register your prompts/examples!). Not showing a table with a PSNR of 36.142 but confidence intervals and a distribution of N training runs w different hyperparameters/seeds.
Pre-registering any experiments/trials before research. (E.g., pre-register your prompts/examples!). Not showing a table with a PSNR of 36.142 but confidence intervals and a distribution of N training runs w different hyperparameters/seeds.
storage.googleapis.com/deepmind-med...
(also soon to be up on Arxiv, once it's been processed there)
storage.googleapis.com/deepmind-med...
(also soon to be up on Arxiv, once it's been processed there)
Our answer: They’re two sides of the same coin. We wrote a blog post to show how diffusion models and Gaussian flow matching are equivalent. That’s great: It means you can use them interchangeably.
Our answer: They’re two sides of the same coin. We wrote a blog post to show how diffusion models and Gaussian flow matching are equivalent. That’s great: It means you can use them interchangeably.
go.bsky.app/LWyGAAu
go.bsky.app/LWyGAAu