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Posted on • Originally published at paperium.net

Mirror Speculative Decoding: Breaking the Serial Barrier in LLM Inference

How a New AI Trick Makes Chatbots Faster Than Ever

Ever wondered why your favorite chatbot sometimes feels sluggish? Scientists have discovered a clever shortcut called Mirror Speculative Decoding that can make AI responses zip by up to five times faster.
Imagine a race where two runners share the track: while one sprints ahead, the other checks the path and corrects any missteps instantly.
This “mirror” teamwork lets the AI guess the next words and verify them at the same time, cutting the waiting time dramatically.
The breakthrough works by letting two different chips in a computer talk to each other, each handling a piece of the puzzle, so the whole system moves in harmony.
The result? Your next question gets answered quicker, and the AI stays just as accurate.
This matters because faster, smarter chatbots can help with everything from quick customer support to real‑time language translation, making our digital lives smoother.
The future of AI is not just about being clever—it’s about being swift, too.
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Mirror Speculative Decoding: Breaking the Serial Barrier in LLM Inference

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