RAG Architecture Explained + BERT Inference Simplified | AI Concepts by Jerry Abraham

🎯 What’s Inside this Video?
In this concise and practical walkthrough, I explain the Retrieval-Augmented Generation (RAG) architecture, how it works under the hood, and how BERT is used for inference and classification tasks. This is part of my AI/ML project portfolio to demonstrate my in-depth understanding of modern generative AI systems.

📌 Topics Covered:
How RAG solves hallucination
Chunking, embeddings, and cosine similarity
Vector databases and ANN (Approx. Nearest Neighbors)
IVF, HNSW
How BERT works: tokenization, transformer layers, classification head
Real-world use case

Видео RAG Architecture Explained + BERT Inference Simplified | AI Concepts by Jerry Abraham канала Jerry A