GenAI: Hands-On LLM Hackathon

During the Hackathon, you have the opportunity to learn, build, and deploy an end-to-end LLM application using AWS Bedrock and OpenAI, while also gaining hands-on experience in crawling documents, creating embeddings, storing them in a vector database, and generating insights with Retrieval-Augmented Generation (RAG).

What is this hackathon all about?

This hackathon is all about gaining practical experience with Large Language Models (LLMs) by actually building and deploying an entire LLM-based application from start to finish. Participants will utilize AWS Bedrock and OpenAI tools to create a comprehensive end-to-end application. The focus will be on hands-on learning, including tasks such as crawling documents from various sources, converting them into mathematical representations called embeddings, efficiently storing these embeddings in a vector database, and using advanced techniques like Retrieval-Augmented Generation (RAG) to extract valuable insights from the documents.

Why join this hackathon?
With this hackathon, you will gain experience in building LLM-based applications. You will learn how to answer natural language questions by querying a specific knowledge base.

Who is this hackathon for?
This hackathon is for engineers with basic technical capabilities in Cloud and Python and with a willingness to experiment with LLMs. 

What do you need to bring with you?
A laptop

Practical information:
Date: April 24thTime: 17:30 - 21.00 CEST
Venue: Vismarkt 17, 3000 Leuven, Belgium
Pizza and drinks will be provided at 17:30 to 18:00