Star Attention ; Supercharging LLM Inference with Speed & Accuracy 🚀✨
🚀✨ Excited to share an innovative leap in LLM efficiency! 🌟 Star Attention, a groundbreaking two-phase attention mechanism designed to supercharge inference for large language models on long sequences. Here’s the magic:
1️⃣ Phase 1: Blockwise-local attention ensures speed and scalability.
2️⃣ Phase 2: Sequence-global attention keeps the accuracy intact.
The results? ⚡ Up to 11x faster inference times while maintaining a stellar 95-100% accuracy. 🌟
Through experiments across various LLMs and benchmarks, Star Attention by NVIDIA shines in balancing speed 🏃♂️ and accuracy 🎯. Plus, it dives deep into optimizing block size and anchor block design for the perfect trade-off. 💡
Opening doors for optimizing the anchor block mechanism and enhancing performance on more complex long-context tasks—ideal for those looking to take the next step in this journey.
#AI #Innovation #Efficiency #StarAttention #LLM #Nvidia #Research
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