#grouped-query-attention

Large Language Models

LLaMA-2 70B Memory: The Math They Don't Show

Every explainer on Grouped Query Attention says the same thing. But what's really going on under the hood with LLaMA-2 70B's architecture? We break down the math.

Large Language Models

DeepSeek V3's Latent Attention Crushes KV Cache Bloat

DeepSeek V3 just compressed the LLM memory crisis. Its Multi-Head Latent Attention shrinks KV caches without killing performance—here's the data.

Large Language Models

Attention Variants Mapped: Efficiency Wars in LLMs

Attention mechanisms in LLMs aren't static relics—they're battlegrounds for speed and scale. Sebastian Raschka's new gallery reveals the winners.