---
title: "Discussion on \"Prompt Engineering vs. Fine-Tuning vs. RAG: A Guide to Customizing LLMs\" | Hashnode"
description: "Discussion on \"Prompt Engineering vs. Fine-Tuning vs. RAG: A Guide to Customizing LLMs\". Introduction\nLarge Language Models (LLMs) are incredibly powerful, but to get them to perform specific tasks for your business or application, you often need to customize them. The three primary methods for doing this are Prompt Engineering, Fine-Tun..."
url: "https://hashnode.com/posts/prompt-engineering-vs-fine-tuning-vs-rag-a-guide-to-customizing-llms/68b04d7f022434696f1cd35a"
---

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# [Prompt Engineering vs. Fine-Tuning vs. RAG: A Guide to Customizing LLMs](https://shahrukh086.hashnode.dev/prompt-engineering-vs-fine-tuning-vs-rag-a-guide-to-customizing-llms?utm_source=hashnode&utm_medium=feed)

Introduction Large Language Models (LLMs) are incredibly powerful, but to get them to perform specific tasks for your business or application, you often need to customize them. The three primary methods for doing this are Prompt Engineering, Fine-Tun...

Aug 28, 2025 · 4 min read · shahrukh086.hashnode.dev  
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[Shahrukh Ahmad](https://hashnode.com/@Shahrukh086)

@Shahrukh086 · Dehli, India

  
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