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when RAG was overkill for Gemma - Printable Version +- Inference (https://www.datasculpting.ai/inference) +-- Forum: Training & Customization (https://www.datasculpting.ai/inference/forumdisplay.php?fid=13) +--- Forum: Distillation (https://www.datasculpting.ai/inference/forumdisplay.php?fid=55) +--- Thread: when RAG was overkill for Gemma (/showthread.php?tid=804) Pages:
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Re: when RAG was overkill for Gemma - visionforge - 10-13-2026 Quote:Appreciate the detail. The pattern around speculative decoding has been pretty similar for me. I got better results once I stopped chasing one metric Appreciate the detail. The pattern around quant drift has been pretty similar for me. I got better results once I stopped chasing one metric and just looked at whether the workflow felt usable. Re: when RAG was overkill for Gemma - vramarch - 10-13-2026 Ran a quick check on my box. The issue went away once I changed one setting and restarted the stack cleanly. I expected the model choice to matter more than it did. Re: when RAG was overkill for Gemma - torchshed - 10-13-2026 subscribed, curious where this lands. |