Safetensors

Sixteen bytes per parameter in, two out — a walk through the forward pass, backward pass, and optimizer that turn a dataset into new weights.

Hugging Face swapped its storage backend to Xet with barely a ripple. So why can't a bucket auto-pull new upstream weights?

Can you actually read an AI model's weights like a book? We explore why the answer is mostly no — and what researchers are doing about it.

LZMA, Zstandard, and Brotli are shrinking massive AI models, but how do they actually work?

What actually happens inside an AI model? Corn and Herman break down the numerical "valves" and "knobs" that power modern intelligence.

Unpacking ASR weight formats: Safetensors and beyond. Tune in to understand the distinctions.