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prompt length getting silly: worth it? - Printable Version +- Inference (https://www.datasculpting.ai/inference) +-- Forum: Prompting & Context Engineering (https://www.datasculpting.ai/inference/forumdisplay.php?fid=15) +--- Forum: Prompts / System Prompts (https://www.datasculpting.ai/inference/forumdisplay.php?fid=62) +--- Thread: prompt length getting silly: worth it? (/showthread.php?tid=867) Pages:
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Re: prompt length getting silly: worth it? - pixelspark - 10-12-2026 Maybe, but I had the opposite result. I wouldn't optimize around that first. On my side the bigger swing came from the runtime and not the model. Could be a workload difference, but I wouldn't generalize too fast from one setup. Re: prompt length getting silly: worth it? - promptspark58 - 10-13-2026 Good point. I ended up in about the same place using PyTorch. Worth rechecking your defaults though, because one bad assumption can make the rest of the thread look confusing. Re: prompt length getting silly: worth it? - cozywire - 10-13-2026 I'd approach it in a boring order. If you're on SGLang, I'd confirm the version first and then reduce variables until the behavior is obvious. Re: prompt length getting silly: worth it? - llmtrack26 - 10-14-2026 Thanks, that helps. That matches what I saw on mini PC. I got better results once I stopped chasing one metric and just looked at whether the workflow felt usable. |