RAG vs Fine Tuning Simply Explained!

Rag vs Fine tuning explained | what is fine tuning | How RAG works | fine tuning vs RAG
This video explains the key differences between Retrieval Augmented Generation (RAG) and fine-tuning for AI models. We explore how RAG ai provides large language model access to external knowledge through embeddings and relevant information retrieval. In contrast, fine tuning focuses on altering the ai applications ' behaviour, offering a clear distinction for anyone interested in ai architecture and ai tutorial.
RAG vs Fine-Tuning Explained | What is RAG? | What is Fine-Tuning? | RAG vs Fine-Tuning in AI

In this YouTube Short, learn the difference between Retrieval-Augmented Generation (RAG) and Fine-Tuning in Large Language Models (LLMs) with a simple and beginner-friendly explanation.

RAG (Retrieval-Augmented Generation) helps AI models access external knowledge sources such as PDFs, APIs, vector databases, websites, and private company documents using embeddings, semantic search, and retrieval pipelines. Instead of retraining the model, RAG injects relevant context into prompts before generating responses.

Fine-Tuning, on the other hand, modifies the behavior of the AI model itself by training it on custom datasets. It is commonly used to improve tone, formatting, domain-specific responses, coding style, customer support automation, AI agents, and task-specific outputs.

In this short AI tutorial, you will learn:
• How RAG works
• What Fine-Tuning means in AI
• Embeddings explained simply
• Vector Database basics
• Semantic Search explained
• Prompt Augmentation in RAG
• How LLMs use external knowledge
• How Fine-Tuning changes model behavior
• RAG vs Fine-Tuning differences
• When to use RAG
• When to use Fine-Tuning
• AI Architecture basics
• Generative AI concepts for beginners

Topics covered:
RAG AI, Fine-Tuning LLMs, OpenAI, LangChain, Vector Databases, Pinecone, ChromaDB, AI Agents, Generative AI, Machine Learning, Artificial Intelligence, LLMOps, AI Engineering, Prompt Engineering, Semantic Search, Embeddings, AI Applications, LLM Architecture, ChatGPT, Custom AI Models, AI Tutorials.

#ai #rag

Видео RAG vs Fine Tuning Simply Explained! канала Cloud Champ