Chii chinonzi LoRA (Low-Rank Adaptation)? Tsanangudzo | AI Understanding

Tsanangudzo

A parameter-inoshanda zvakanaka-tuning nzira inowedzera yakaderera-rank adapter matrices.

Mashoko anoenderana

Parameter-Inoshanda Fine-Tuning (PEFT)

Nzira dzinogadzirisa mamodheru nekudzidzisa diki diki rekuwedzera paramita.

Iyo yakanaka-tuning tekinoroji inosanganisa 4-bit huremu quantization neLoRA adapters kuderedza ndangariro zvinodiwa.

Kugadziriswa kwakanaka

Kuenderera mberi nekudzidziswa padomeine-chaiyo data kugadzirisa iyo isati yadzidziswa modhi kune rimwe basa.

Instruction Tuning

Kunyatsogadzirisa modhi pamirairo-mhinduro mbiri kuti uvandudze basa rinotevera.

DPO (Direct Preference Optimization)

Nzira yekudzidzisa iyo inonatsa-tuni modhi yakananga pamapeya ekuda pasina kuda mubairo wakasiyana.

Label Smoothing

Iyo yenguva dzose nzira inopfavisa mavara akaomarara kuvandudza generalization.

Dzidza zvakawanda mumadhairekitori edu emahara

AI Workflow Automation Barlow Twins and Redundancy Reduction Domain Adaptation Kubeflow and ML Pipeline Orchestration

Onawo

Learning Rate Loss Function Large Language Model (LLM)Machine Learning (ML)Latency Memory (Agent Memory)Mixture of Experts (MoE)Knowledge Graph

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