MASTER SERIES - RAG 4. Prompt Engineering vs Fine-Tuning vs RAG

Описание: 🎯 Title: Prompt Engineering vs Fine-Tuning vs RAG — What’s the Difference?
📘 Description:
In this video, we break down three powerful techniques that shape how AI and LLMs (like ChatGPT) are used in real-world applications:
🧠 Prompt Engineering — Crafting smart instructions to get accurate and creative responses.
⚙️ Fine-Tuning — Training models on custom datasets to make them domain-specific.
📚 RAG (Retrieval-Augmented Generation) — Combining external knowledge sources with AI to give factual, up-to-date answers.
You’ll learn:
✅ What each method means
✅ When to use one over the other
✅ Real-world examples and use cases
✅ How companies and developers combine them for maximum performance
Perfect for students, developers, and AI enthusiasts who want to understand how to customize and control large language models effectively.

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#AI #MachineLearning #PromptEngineering #FineTuning #RAG #LLM #ChatGPT #DeepLearning