Retrieval-Augmented Generation (RAG) Explained | AI-Fun

AI·Fun Fundamentals Course

kernel offline

P1 NumPy Essentials
P2 PyTorch Basics
P3 Plots & Data Viz
P4 Toolkit & Setup

01 Foundations — RNNs to Transformers
1b Tokenizers & Embeddings
02 Text Generation
03 Prompt Engineering

04 Fine-Tuning with LoRA
05 Retrieval-Augmented Generation

Anything you'd like to share — feedback, bugs, ideas — tell me here

AI Fun Tutor AI

Ask anything about this lesson — concepts, code, or interview-style follow-ups.