Skip to content
  • Fine-Tuning & PEFT · Generative AI

Fine-Tuning & PEFT

LearnViaNotes @learnvianotes· 1 min read

Updating weights to adapt models for specific formatting, behavior, and specialized tasks.

PEFT Methodologies

When to RAG vs Fine-Tune

FactorRAG (Retrieval-Augmented Generation)Fine-Tuning
Data UpdatesDynamic (instantly reflects database updates)Static (requires retraining process to update data)
Source CitationsYes (can pinpoint retrieved source chunks)No (knowledge is baked into abstract weights)
Hallucination RiskMuch lower (response is grounded in input context)Moderate (remains a statistical prediction)
Best forAccessing private facts, documentation searchAdapting tone, formatting style, learning constraints

Free for students and teachers

Write notes like this one

Cards for every idea, quizzes and flashcards, read aloud — on the web and your phone.

Something wrong with this note? Open it to report