RAG vs Fine-Tuning — which one should you really use in real AI products?
Most teams waste time and money fine-tuning models when they should be using RAG.
In this short video, you’ll learn:
- What RAG actually is
- What fine-tuning really does
- Cost and maintenance differences
- When to use each in production AI systems
Quick rule to remember:
RAG is for knowledge.
Fine-tuning is for behavior.
This applies to:
AI startups, SaaS products, chatbots, internal tools, and LLM-based apps.
Follow for practical AI system design, LLM cost optimization, and real-world AI engineering insights.
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