RAG vs Fine-Tuning Explained in 60 Seconds | When to Use Which for LLMs

Описание: RAG vs Fine-Tuning explained in under 60 seconds. Learn the core difference between Retrieval-Augmented Generation (RAG) and fine-tuning, when to use each, and how they impact large language model behavior in real-world AI systems.

We compare how RAG retrieves external knowledge at query time, while fine-tuning permanently updates model parameters during training.

What you'll learn:
The plain-English difference between RAG and fine-tuning
A simple mental model: plug-in knowledge vs rewiring the brain
A concrete product example combining both approaches
How this choice affects cost, latency, and maintenance

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Chapters:
00:00 Intro
00:05 Definition in Plain English
00:19 Mental Model: Plugin vs Brain Rewire
00:34 Practical Product Example
00:53 Why This Choice Matters


#RagVsFineTuning
#RetrievalAugmentedGeneration
#FineTuningLlms
#LlmKnowledgeUpdating
#AiGlossary

Watch Next:    • Retrieval Augmented Generation (RAG) Expla...  
Check out the other playlists:
   • This vs That  
   • Retrieval & Modern AI Systems  
   • Large Language Models (LLMs)  


Please post your questions below in the Comments -- I'll be happy to respond a.s.a.p.

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