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

Combining computer vision and NLP, we utilize AI to expand human limits

yingyan0124

Andy Chen

jackyjin1234

Zhiyu Wang (Peter)

bingyuwu03

enrique-z

terrywang330

Y-Detective aims at providing automated, scalable, fast, and parallelized object detection and image selection functionalities for a variety of scenarios, such as media production, customer supoort, crime detection, and so on. Combining computer vision and natural language processing techniques, the program is able to understand both the contents of images and the user's requirements or descriptions in words. As mentioned, the program contains two main parts: 1. Finding multiple objects from an image and create automatic crops based on user requirements, and 2. Selecting the images from a large set (10~100 images) matching user's descriptions most closely. 

Y-Detective is an AI assistant for interpreting and selecting images. Given user requests in words, the program is able to detect and crop specified objects from an image, as well as finding the best matching image from a large set.

"yingyan0124 team on NextGen GPT AI Hackathon Hackathon"

Team Idea

Submission