RAG vs Fine-Tuning — Which One Should You Use? Difefrence between RAG and Fine Tuning in 3 Mins

#GenerativeAI #RAG #FineTuning

RAG vs Fine Tuning explained with real-world examples. Learn when to use Retrieval Augmented Generation vs Fine Tuning in enterprise Generative AI systems.

In this video, we clearly explain the difference between RAG (Retrieval Augmented Generation) and Fine-Tuning, two essential techniques used in Generative AI and Large Language Model (LLM) applications. You’ll learn how RAG retrieves real-time knowledge from external documents while Fine-Tuning trains the model to adapt to specific tasks or domains.

We compare architecture, cost, scalability, hallucination risk, and real-world enterprise use cases. This quick guide is perfect for AI engineers, data scientists, and system design interview preparation. If you are building LLM applications, AI copilots, or enterprise GenAI systems, understanding when to use RAG vs Fine-Tuning is critical.

#rag, #finetuning, #generativeai, #llm, #aiengineering, #machinelearning, #genai, #aifordevelopers, #llmarchitecture, #artificialintelligence, #aiexplained, #systemdesign, #techeducation

00:00 Introduction – RAG vs Fine-Tuning
00:12 What is RAG (Retrieval Augmented Generation)?
00:35 What is Fine-Tuning in LLMs?
00:55 Knowledge Source Difference
01:15 Data Update & Maintenance
01:35 Cost and Infrastructure
01:55 Latency and Performance
02:15 Hallucination Risk
02:30 Real World Example (Enterprise AI)
02:50 When to Use RAG vs Fine-Tuning
03:00 Quick Summary
RAG vs Fine Tuning
Retrieval Augmented Generation
Fine Tuning LLM
RAG explained
GenAI architecture
LLM architecture
RAG tutorial
Fine tuning tutorial
AI engineering concepts
Generative AI tutorial
Machine learning interview questions
AI system design
Large language models explained
OpenAI RAG vs Fine Tuning
AI architecture for beginners

Видео RAG vs Fine-Tuning — Which One Should You Use? Difefrence between RAG and Fine Tuning in 3 Mins канала Infinite Dreams