Qwen

Small models plus strict JSON schemas should be a safe bet. A 15,000-generation study found the opposite.

A chained on-device dictation pipeline — VAD, ASR, cleanup — and why "it feels smooth" isn't the same as knowing it works.

Why "don't say X" prompts backfire, and how a tiny grammar-constrained model can scrub a script without breaking its grammar.

QLoRA cuts fine-tuning VRAM 15x and cost up to 85% — but you pay in training time, quality, and safety alignment.

That humanoid chatting while it moves? It's not one brain — it's a stack of separate models glued together.

DeepSeek shipped a whole new architecture and called it a point release. Here's what actually changed inside the model.

Under the prose, every AI model is just matrices of floating-point math. So where does the randomness actually come from?

A few hundred crafted documents can shift a model's stance. Here's how data poisoning actually works.

You fine-tuned an open-weight model. Now how does anyone actually talk to it? Dedicated GPUs vs serverless inference, and the math that decides it.

A new class of model skips text generation entirely and returns calibrated probabilities in one forward pass. Here's what that changes.

A 102KB adapter file changes how a 403GB base model behaves — without ever merging into it. Here's how model adapters actually work.

You don't need 10,000 examples to make a model sound like you. The real number is closer to 100 — if the edits are opinionated.