45 LLM Architectures Walked Into a Gallery—Most Won't Survive the Hype Cycle
A single gallery crams 45 LLM architectures into visual model cards, from vanilla multi-head attention to exotic sparse hybrids. But after 20 years in this game, I gotta ask: are these tweaks genius or desperate compute bandaids?
⚡ Key Takeaways
- 45 architectures cataloged, but most attention variants are efficiency hacks, not breakthroughs.
- GQA and sparse attention slash memory—great for inference, but hardware giants profit most.
- History repeats: attention tweaks echo 90s kernel hype; expect convergence by 2026.
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Originally reported by Ahead of AI