inari@piefed.zip to Technology@lemmy.worldEnglish · 2 days agoI gave Qwen 3.8 27B a reverse-engineering job I assumed needed a frontier model, and it finished in 30 minuteswww.xda-developers.comexternal-linkmessage-square30linkfedilinkarrow-up1128arrow-down131
arrow-up197arrow-down1external-linkI gave Qwen 3.8 27B a reverse-engineering job I assumed needed a frontier model, and it finished in 30 minuteswww.xda-developers.cominari@piefed.zip to Technology@lemmy.worldEnglish · 2 days agomessage-square30linkfedilink
minus-squarefrongt@lemmy.ziplinkfedilinkEnglisharrow-up1·1 day agoThe solution is to train a LoRA. It takes the base model, and overlays all your data on top.
minus-squarehirihit640@sh.itjust.workslinkfedilinkEnglisharrow-up1·24 hours agoThat sounds like a lot of work to just read some docs. RAG doesn’t require any training at all. I assume there are other approaches as well that would be faster than LoRA
The solution is to train a LoRA. It takes the base model, and overlays all your data on top.
That sounds like a lot of work to just read some docs. RAG doesn’t require any training at all. I assume there are other approaches as well that would be faster than LoRA