RAG vs Fine-Tuning: Simple Decision Framework

Описание: Choosing between RAG and fine-tuning for your AI project can save you thousands of dollars. In this video, I break down exactly when to use RAG (Retrieval Augmented Generation) vs fine-tuning for large language models in 2025, with real examples and a simple decision framework.

As an AI research engineer with a PhD in computer science, I've helped countless clients decide between these two techniques. The wrong choice can waste money and time, so let me show you how to make the right decision for your specific use case.

What You'll Learn:
✅ What RAG actually is and how it works
✅ What fine-tuning does to AI models
✅ Real cost comparison between RAG and fine-tuning
✅ When to use RAG (changing data, citations, prototypes)
✅ When to use fine-tuning (consistent style, specialized reasoning)
✅ Simple decision framework you can use immediately

TIMESTAMPS:
0:00 - Introduction
1:30 - What is RAG?
4:45 - What is Fine-Tuning?
7:20 - Cost Comparison
9:15 - When to Use RAG
12:30 - When to Use Fine-Tuning
16:45 - Decision Framework
18:00 - Conclusion

Whether you're building chatbots, AI assistants, or automation systems, this guide will help you choose the right AI technique for your project without wasting money.

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