What is Instruction Tuning? Definition | AI Understanding

Nkọwa

Idozi ihe nlere anya na ụzọ abụọ nzaghachi-ntụziaka iji kwalite ọrụ na-eso.

Okwu ndị metụtara

Imezicha nke ọma

Ịga n'ihu na ọzụzụ na ngalaba-kpọmkwem data iji gbanwee ihe nlereanya a zụrụ azụ na otu ọrụ.

LoRA (mmegharị ọkwa dị ala)

Usoro nlegharị anya nke ọma na-arụ ọrụ nke ọma nke na-agbakwunye matrices nkwụnye dị ala.

Parameter-Ntụgharị dị mma nke ọma (PEFT)

Ụzọ na-emegharị ụdị site n'ịzụ obere akụkụ nke paramita agbakwunyere.

Ngwa ngwa sistemụ

Ntuziaka dị elu nke na-edobe omume, amụma, na ụdị nzaghachi maka ihe nlereanya.

Itinye ihe ọmụma amụtara n'otu ọrụ ma ọ bụ ngalaba iji kwalite ọrụ ọzọ.

Kọmpụta oge ule

Mgbakọ inference agbakwunyere na-eji n'oge ọgbọ nzaghachi iji melite ogo ma ọ bụ echiche.

Mụtakwuo na ntuziaka efu anyị

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

Hụkwa

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

Chọgharịa akwụkwọ nkọwa AI zuru ezu Nyochaa ntuziaka AI niile efu