Dev Tools · 2h ago
SuperCompress cuts LLM prompt tokens by 65% without losing accuracy
Developer Arjun Shah built SuperCompress, a prompt compression system that uses a lightweight CPU model to score and evict irrelevant tokens before GPU processing. It achieves 65% token savings with 100% oracle recall, outperforming truncation. At scale, it could save 1,526 tons of CO₂ daily across the industry.
Meridian48 take
The 100% recall claim is impressive, but real-world performance across diverse tasks remains to be seen; still, the environmental cost savings are hard to ignore.
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I Built a Prompt Compressor That Saves 65% on LLM Costs — Here's the Story →
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