What is Instruction Tuning? Definition | AI Understanding

Itumọ

Ṣiṣe atunṣe awoṣe daradara lori awọn orisii idahun-itọnisọna lati mu ilọsiwaju iṣẹ-ṣiṣe ti o tẹle.

Awọn ofin ti o jọmọ

Ilọsiwaju ikẹkọ lori data-ašẹ kan pato lati ṣe atunṣe awoṣe ti a ti kọ tẹlẹ si iṣẹ-ṣiṣe kan pato.

LoRA (Imudara ipo-Kekere)

Ọna atunṣe-daradara paramita ti o ṣafikun awọn matiri oluyipada ipo-kekere.

Iṣatunṣe-Ṣiṣe-Tuning Fine daradara (PEFT)

Awọn ọna ti o ṣe adaṣe awọn awoṣe nipasẹ ikẹkọ ipin kekere ti awọn aye ti a ṣafikun.

Ilana pataki-giga ti o ṣeto ihuwasi, eto imulo, ati ara idahun fun awoṣe kan.

Lilo imọ ti a kọ ni iṣẹ kan tabi agbegbe lati mu ilọsiwaju iṣẹ-ṣiṣe miiran.

Iṣiro-Aago Idanwo

Afikun iṣiro inference ti a lo lakoko iran esi lati mu didara dara tabi ero inu.

Kọ ẹkọ diẹ sii ninu awọn itọsọna ọfẹ wa

Fine-Tuning Rejection Sampling Fine-Tuning QLoRA and 4-Bit Fine-Tuning Custom Diffusion Multi-Concept Tuning

Wo tun

Inference-Time Compute Intent Classification Inference Jailbreak In-Context Learning Knowledge Cutoff Hyperparameter Knowledge Distillation

Ṣawakiri ni kikun AI Gilosari Ṣawari gbogbo awọn itọsọna AI ọfẹ