OpenMachine.ai @OpenMachine_AI
Affordable and faster AI github.com/OpenMachine-ai… SF Bay Area Joined December 2022-
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OpenMachine.ai retweeted
What is Slim Attention? It's a new attention mechanism that allows models to be 2x faster and cut memory use by 32 times! ▪️ What's the secret? It uses the same math as Multi-Head Attention (MHA) but applies one clever trick: Instead of storing both keys (K) and values (V) in…
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OpenMachine.ai retweeted
Slim attention: cut your context memory in half without loss of accuracy -- K-cache is all you need for MHA arxiv.org/abs/2503.05840
OpenMachine.ai retweeted
This paper introduces Slim Attention to halve context memory size without accuracy loss. 📌 Slim Attention doubles context window or halves memory, boosting speed without retraining. 📌 It is an exact mathematical rewrite. Slim Attention ensures no accuracy drop, unlike…
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