Optimizing LLM Inference: Parallel Outputs from Single Sample Reduce Variance
mgostIH · x · 2026-08-02
A discussion on LLM inference sampling reveals that instead of multiple independent inputs, sampling just one input and outputting multiple candidates simultaneously is strictly better. This approach, akin to antithetic or stratified sampling, reduces variance and cuts inference time significantly.
Related event: New Sampling Approach Achieves K-fold LLM Inference Speedup(2 posts)→
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