NextGen GPT AI Hackathon

Hackathon Kick-Off and lablab.ai introduction

Dive into the world of our platform with Nicholas Speece as your guide. This session is designed for newcomers, providing a comprehensive introduction right from account creation. Discover the essential features and get a quick, insightful tour to kick-start your journey on the platform.

A Tour of the Clarifai Platform with Nicholas Speece

Hackathon Guide and lablab.ai Platform Walk-through

Join Adam Kamor, co-founder of Tonic AI, as he delves into the world of synthetic data generation. Discover how Tonic AI's innovative approach to creating fake data can revolutionize the way you train models for your hackathon projects, ensuring both efficiency and compliance. 

Utilizing Tonic AI's Fake Data for Hackathon Success

Join Sanwal Yousaf from Clarifai for a dynamic showcase of Clarifai's latest AI models, including GPT-4 Turbo, GPT-4V, and DALL-E 3. Discover innovative workflows for cross-modal applications and delve into the potential of these next-generation models for your projects.

Exploring Next-Gen AI with Clarifai: A Multimodal Model Showcase

Explore GPT-4's vision capabilities with Sumanth, a Machine Learning Developer Advocate at Clarifai. Learn to integrate advanced AI into apps using UI modules in this concise, hands-on session.

Building GPT-4 Vision Apps with Clarifai

General Q&A session on Discord

Join up for additional technical workshop for the hackathon participants! Sumanth will intro you to RAG extending your product's capabilities. 

Unveiling the Power of RAG: A Technical Workshop by Clarifai

lablab.ai community mentor and content creator, Sanchay, prepared for you the detailed tutorial for hackers of the levels! Check it out on the stream, and read the tutorial on lablab.ai tutorials page!

The Art of Intelligent Browsing: Mastering Selenium with GPT Vision API

Submission Deadline

I'm a one-person army gearing up for the hackathon, armed with a passion for coding and a vision.

Neural Nomads

Vidit_Dhull

QueryPDF is a groundbreaking project, seamlessly merging advanced technologies to redefine PDF exploration. Users effortlessly upload PDFs, initiating a process where document embeddings are generated and stored in a powerful vector database. This innovative approach enables efficient and accurate vector searches, swiftly identifying the most relevant parts of the document.

The heart of QueryPDF lies in its integration with GPT-4, a state-of-the-art language model. When users pose questions, the system leverages vector search results and feeds them into GPT-4 for natural language response generation. The synergy between vector search, document embeddings, and GPT-4 ensures not only precision but also the contextual richness of the responses.

Whether navigating complex research papers, legal documents, or information-rich PDFs, QueryPDF offers a user-friendly interface that empowers individuals to interact intelligently with their documents. It represents a harmonious convergence of vector database technology and cutting-edge natural language processing, delivering an unparalleled experience in document exploration and understanding.

QueryPDF, powered by GPT-4, revolutionizes PDF exploration. Upload, query, and receive intelligent responses. Utilizing vector search and document embeddings, it seamlessly integrates with GPT-4 for a comprehensive document interaction.

"Neural Nomads team on NextGen GPT AI Hackathon Hackathon"

Team Idea

Submission