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

The DaVinci team is a duo team of two developers: Zeylan Emir and Izmukhanov Daniyar.

DaVinci

EmirZeylan

EmperorProtects

DaVinci QA Engineer AI Assistant revolutionizes Quality Assurance by seamlessly integrating artificial intelligence into the testing workflow. Its key features include effortless test case creation through intuitive conversations, leveraging natural language processing for converting requirements into detailed test scenarios. The tool enhances documentation by processing various formats, automating proofreading, and suggesting improvements.

Automated test generation accelerates the process by transforming manual test cases into scripts aligned with project requirements. The AI Assistant streamlines repetitive tasks, allowing QA engineers to focus on critical aspects, continuously learning from user interactions to optimize performance. It seamlessly integrates with existing testing tools and supports various document formats, fostering compatibility.

Intelligent corrections identify inconsistencies in documentation, facilitating collaboration by ensuring a consistent understanding of project requirements. Real-time collaboration is enabled through a centralized platform, providing updates and notifications to keep the team informed. The adaptive learning feature improves response accuracy over time, offering AI-driven insights for optimizing the testing process.

DaVinci QA Engineer AI Assistant transcends traditional chat bots, serving as a transformative tool that enhances QA engineers' capabilities. It promises improved product quality, streamlined testing processes, and enhanced collaboration within QA teams, representing the future of quality assurance.

DaVinci QA Engineer AI Assistant is an AI application that allows QA engineers to create various test cases based on their documentation, automatic tests, improve their performance and the quality of the product and its documentation

"DaVinci team on NextGen GPT AI Hackathon Hackathon"

Team Idea

Submission