RAG vs Fine-Tuning vs Prompting — When to Use Each

Muntazir Abidi · Beginner ·🧠 Large Language Models ·4mo ago
Skills: Prompt Craft53%

About this lesson

Large language models are powerful — but their knowledge is frozen at training time. So how do you actually make them useful for your specific needs? In this video, I break down the 3 approaches every AI practitioner needs to understand: 🔍 RAG (Retrieval-Augmented Generation) — Give the model a search tool so it finds the right information at the moment you ask 🧠 Fine-Tuning — Bake domain expertise directly into the model through targeted retraining ✍️ Prompt Engineering — Get dramatically better answers by asking smarter questions Each approach solves a different problem, comes with different tradeoffs, and is right for different situations. By the end of this video, you'll know exactly which one to use — and why. 00:00 – Introduction 01:22 – RAG (Retrieval-Augmented Generation) 02:34 – Fine-Tuning 03:53 – Prompt Engineering 🔔 Subscribe for more AI videos. --- 🎓 Learn AI hands-on →https://www.camedventure.com/ai-bootcamps

Original Description

Large language models are powerful — but their knowledge is frozen at training time. So how do you actually make them useful for your specific needs? In this video, I break down the 3 approaches every AI practitioner needs to understand: 🔍 RAG (Retrieval-Augmented Generation) — Give the model a search tool so it finds the right information at the moment you ask 🧠 Fine-Tuning — Bake domain expertise directly into the model through targeted retraining ✍️ Prompt Engineering — Get dramatically better answers by asking smarter questions Each approach solves a different problem, comes with different tradeoffs, and is right for different situations. By the end of this video, you'll know exactly which one to use — and why. 00:00 – Introduction 01:22 – RAG (Retrieval-Augmented Generation) 02:34 – Fine-Tuning 03:53 – Prompt Engineering 🔔 Subscribe for more AI videos. --- 🎓 Learn AI hands-on →https://www.camedventure.com/ai-bootcamps
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Chapters (4)

Introduction
1:22 RAG (Retrieval-Augmented Generation)
2:34 Fine-Tuning
3:53 Prompt Engineering
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