Enhancing LLMs with RAG: A Beginner’s Guide

Submission Number: 352
Submission ID: 5280
Submission UUID: db457a82-c797-4106-9de6-f5ef3b725865
Submission URI: /form/resource

Created: Fri, 05/02/2025 - 15:48
Completed: Fri, 05/02/2025 - 15:48
Changed: Fri, 05/02/2025 - 17:20

Remote IP address: 139.182.9.242
Submitted by: Dr. Nabeel Alzahrani
Language: English

Is draft: No
Yes
Enhancing LLMs with RAG: A Beginner’s Guide
Learning
ai, llm, NAIRR-pilot, generative-ai, nlp, deep-learning, machine-learning, neural-networks, reporting, artificial-intelligence, computer-science, data-science, jupyterhub, python
Beginner
This beginner-friendly guide introduces Retrieval-Augmented Generation (RAG), a technique to enhance Large Language Models (LLMs) by integrating external data sources. It covers the fundamentals of AI, LLMs, and RAG, providing step-by-step instructions, examples, and visual aids. The guide also discusses tools like Milvus, Faiss, and LangChain, offering a practical approach to building smarter AI systems.
CCMNet