Gemini AI Hackathon

Hackathon Kick-Off 

We'll onboard you in the Gemini AI technology, newly released by Deep Mind, with Fabian Stehle, Data Scientist at New Native.

Introduction to Gemini AI

Join for the tech session with Shayak Sen, CTO of TruEra. We'll dive deeper in integration of TruLense into Gemini AI-based application.  

Tech Workshop with TruEra

Join experts Shayak from TruEra and Jerry Liu from LlamaIndex as they delve into the world of multimodal AI applications.

Building and Evaluating Multimodal GenAI Apps: RAG Triad is All you Need

Q&A Session with lablab.ai mentors on Discord

Submissions Deadline

Qredence's goal is to democratize actionable knowledge through AI for all

Qredence

Zach

Objective
To develop a custom visual node that can be seamlessly integrated into Jupyter notebooks or similar environments. To provide users with an intuitive, drag-and-drop interface for incorporating Trulens analytics into their data pipelines.

Features
Interactive UI: A user-friendly interface allowing for easy manipulation and configuration of data analysis parameters.
Real-Time Data Visualization: Instant visual feedback on data processing and analysis, aiding in quicker insights. Seamless Integration: Effortlessly embeddable in popular data science notebooks.

Customization: Users can tailor the node to suit specific project needs.
##Impact
Makes advanced data analytics more accessible to a broader range of users, including those with limited coding skills. Increased Productivity: Streamlines the process of data analysis, allowing for more efficient exploration and interpretation of data. Educational Value: Offers a valuable tool for educational purposes, helping students and newcomers understand complex data analysis concepts visually.


Objective
To develop a comprehensive Robustness, Assurance, and Guidance (RAG) system for Trulens documentation. To provide users with a clear, structured, and detailed understanding of Trulens’ functionalities and best practices.

Features
Robustness Check:
Ensuring that the documentation covers all features and use cases of Trulens comprehensively.

Assurance Guidelines:
Providing users with confidence in applying Trulens to their data, including troubleshooting and problem-solving guides.

Guidance System:
tutorials, examples, and best practices to optimize the use of Trulens in various scenarios.

Enhanced Learning Curve:
Makes it easier for users to navigate and utilize Trulens documentation.
Helps new users to quickly get up to speed with the platform’s capabilities. 
Ensures that the documentation remains current, accurate, and user-friendly.

https://chat.qlaus.app/embedded/public/87c92de2-cc30-4702-801f-07a8b4b3d97e

Our project enhances Trulens analytics through two key initiatives: developing an interactive visual node for integration in Jupyter notebooks, and creating a comprehensive RAG framework for Trulens documentation. 

"Qredence team on Gemini AI Hackathon Hackathon"

Team Idea

Submission