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Mostly about building products, healthcare tech, and lessons learned along the way.
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Mostly about building products, healthcare tech, and lessons learned along the way.
2 articles on llm architecture.

The open-weight ecosystem has matured faster than most engineers realize. MoE proliferation, hybrid attention, and extended context windows are changing what's deployable on-premise. That matters more than ever for healthcare AI.

I've been reading ML papers for 10 years. Most don't matter. These architectural choices did. RoPE, GQA, SwiGLU: each one solved a real scaling problem. What to look for when a new model claims 'better architecture.'