Mamba-style architectures offer linear scaling with sequence length, challenging the transformer monopoly on language modeling.
A deep technical walkthrough of the attention mechanism — queries, keys, values, and why it works so well for language understanding.
What temperature and top-p sampling actually do to model output — with visual examples and practical tuning advice.
How quantization compresses massive AI models to run on your laptop — the math, the trade-offs, and the practical guide.