Qeexid
Barashada tusaalooyinka yar micnaheedu waa la-qabsiga hawl iyada oo lagu isticmaalayo tiro yar oo tusaalooyin la calaamadeeyay. Marka LLM-yada la isticmaalayo, tusaalooyinkaas badanaa waxaa lagu daraa prompt-ka (in-context learning) iyada oo aan miisaamayaasha (weights) la beddelin.
Barashada tusaalooyinka yar ee ML-da caadiga ah waxa laga yaabaa inay sidoo kale sameyso fine-tuning ama isticmaalayso metric learning oo ku salaysan dataset-yo aad u yar.
Si fudud
Waa sida aad shaqaale cusub tusi lahayd saddex ticket oo la dhammeeyay oo ku tidhaahdo "sida kuwan u samee" — waxay ka gudbaan qaabka guud isagoon buuxinayn koorso dhamaystiran oo tababar ah.
Halka aad ka aragto
- Prompt-gelinta LLM iyada oo lagu daray 3 lammaane oo turjumaad Soomaali→Ingiriisi ah.
- Kala saarida ujeeddooyinka taageerada iyadoo la eegayo dhawr fariin oo la calaamadeeyay in-context.
Sida ay u shaqeyso
1.Dooro tusaalooyinka
Tusaalooyin kala duwan oo cad oo muujinaya hawsha.
2.Qaabee prompt-ka
Tus qaababka input→output, kadibna weydiinta dhabta ah.
3.Soo saar
Moodelku wuxuu sii wataa qaabka la muujiyay.
Maxay muhiim u tahay
- Prompt-gelinta tusaalooyinka yar waxay furtaa hawlo cusub iyada oo aan la ururinayn kumanaan calaamado.
Inta badan la khaldo
Few-shot had iyo jeer way ka fiican tahay fine-tuning.
Hawlaha waaweyn oo joogto ah, fine-tuning ama RAG ayaa laga yaabaa inay ka sarreeyaan tusaalooyinka prompt-ka keligood.