Foundations of LLM Fine-Tuning | Pre-Training vs Fine-Tuning & RAG Explained (Chapter 1)
Автор: Decode AI Papers
Загружено: 2025-11-28
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Welcome to Chapter 1 of the LLM Fine-Tuning Series! This video lays the foundations of fine-tuning Large Language Models (LLMs), breaking down the difference between pre-training and fine-tuning, and exploring when to use Retrieval-Augmented Generation (RAG) versus fine-tuning.
In this 8–10 minute video, you’ll learn:
📖 What are LLMs? – background and evolution from n-grams to transformers
🔄 Pre-Training vs Fine-Tuning – how general AI becomes domain‑specific
🧠 Instruction Tuning & Supervised Fine-Tuning (SFT) – key methods explained simply
🔍 RAG vs Fine-Tuning – when retrieval is better than training
🌍 Real-World Applications – how fine-tuning impacts NLP tasks, chatbots, and specialized domains
✅ Course Roadmap – what to expect in the upcoming chapters
This video is perfect for students, researchers, and developers who want to understand the core concepts of LLM fine-tuning before diving into advanced techniques.
👉 Subscribe to follow the full series and learn how to transform general AI models into expert systems.
#LLM #FineTuning #PreTraining #RAG #ArtificialIntelligence #MachineLearning #AIExplained
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