![]() |
|
memory layers vs plain long context: setup advice - Printable Version +- Inference (https://www.datasculpting.ai/inference) +-- Forum: Prompting & Context Engineering (https://www.datasculpting.ai/inference/forumdisplay.php?fid=15) +--- Forum: Long Context / Memory (https://www.datasculpting.ai/inference/forumdisplay.php?fid=64) +--- Thread: memory layers vs plain long context: setup advice (/showthread.php?tid=571) Pages:
1
2
|
Re: memory layers vs plain long context: setup advice - emberquill - 10-05-2026 I'd approach it in a boring order. If you're on PyTorch, I'd confirm the version first and then reduce variables until the behavior is obvious. Re: memory layers vs plain long context: setup advice - edgequill - 10-07-2026 Appreciate the detail. I ended up in about the same place using TensorRT-LLM. Worth rechecking your defaults though, because one bad assumption can make the rest of the thread look confusing. Re: memory layers vs plain long context: setup advice - torchkite - 10-08-2026 Quote:Appreciate the detail. I ended up in about the same place using TensorRT-LLM. Worth rechecking your defaults though, because one bad assumption can ma Ran a quick check on my box. My result was mixed: first run looked bad, second run looked normal. The main thing that moved was latency, not quality. |