Advanced RAG Hackathon

Start

by Simon Olson, Co-Founder of New Native 

Hackathon Kick Off - Lablab.ai Introduction

by Ofer Mendelevitch, Head of Developer Relations

Vectara Opening Words

Together Opening Words

LlamaIndex Opening Words

by Chris Maddock, Head of Product Marketing 

Unstructured Opening Words

Tonic Opening Words

General Q&A session on Discord

Tools for building UI for AI

Advanced RAG workshop

Discover limitless learning with AI Quiz Master, AI-powered tool for creating engaging quizzes

Quiz Master

sgopi

omosaad

devu

This project explores the development of an AI-based quiz generation system using GPT-3.5 and Vectara to foster personalized and adaptive learning experience. Our methodology involved sourcing relevant structured dataset, data pre-processing, embeddings generation, vector database storage, hybrid-search retrieval, LLM feed, prompt engineering, and context-based response.  The primary challenge addressed is the insufficient customization in quiz generation and overcoming the challenge of generating precise and contextually relevant quiz questions that minimize the risk of LLM generating incorrect or misleading information (hallucinations). We also have included an option for the user to upload their preferred document and let the app generate quiz. As the users answer the questions, the LLM will generate further questions adapting the difficulty level.  The hallucination levels are found to be really low as per Vectara in-built evaluations. This is designed for interactive AI based user learning and is scalable  to different arenas like education, online learning, and employee trainings. 

This project explores the development of an AI-based quiz generation system using GPT-3.5 and Vectara to foster personalized and adaptive learning experience.

"Quiz Master team on Advanced RAG Hackathon Hackathon"

Team Idea

Submission