TruEra Challenge: Build LLM Applications

Let's Kick it Off! We are starting the stream with a Hackathon opening, an introduction to lablab.ai from the NewNative co-founder, and a schedule overview.

Hackathon Kick-Off Stream

Join Anupam Datta, Co-founder, President, and Chief Scientist at TruEra, as he kicks off the Hackathon with insightful opening words, setting the tone for an engaging exploration into TruEra Challenge: Build LLM Applications with Google Vertex AI.

TruEra Opening Words

Let's dive into the platform and its features that will be useful for Hackathon participants.

Hackathon Guide and Platform Walk-through

Join the workshop with Michael Davis, Customer Engineer at Google and Anupam Datta, co-founder, President, and Chief Scientist at TruEra.

Google Cloud x TruEra Workshop: Running LLM-based Evals with PaLM 2

Join us for an insightful workshop featuring Josh Reini, DevRel Engineer at TruEra, and Yujian Tang, Developer Advocate at Zilliz.

Build and Iterate with Advanced Index Construction: Chunking, Range Search and more

General Q&A session on Discord

In this workshop on December 4, Shayak Sen, CTO of Truera, and Laurie Voss, VP of Developer Relations at LlamaIndex, will explore the building and evaluation of multimodal GenAI apps using the RAG Triad model. 

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

Submissions Deadline

Extended Submission Deadline💻

TOP-5 teams will be invited to pitch their ideas for Hackathon judges - to define the Hackathon winner!

Finalists Stream

AI developers who wants to go green with sustainability with hungry minds

Cynaptix

Ha__sh

pranaaaov

SHAi, which stands for Sustainable Hydroponic AI, is a groundbreaking project to revolutionise hydroponic farming practices. Focused on sustainability, this domain-specific Large Language Model (LLM) is designed to cater to the diverse needs of hydroponic enthusiasts while aligning with eco-friendly agricultural methods.

Key Features:

Comprehensive Guidance: SHAi provides comprehensive guidance for hydroponic farming, covering everything from basic principles to advanced industrial applications.
Sustainability Integration: Aligned with sustainable agricultural methods, SHAi promotes eco-conscious practices, contributing to a more environmentally friendly approach in hydroponics.
Domain-Specific Expertise: Tailored specifically for hydroponics, SHAi ensures that users receive specialized and relevant information, fostering success in their farming endeavors.
User-Friendly Interface: The SHAi interface is designed for accessibility, offering an intuitive platform for users at all skill levels, from beginners to experts.

The SHAi project leverages the LlamaIndex framework to streamline the Retrieval Augmented Generation (RAG) process, enhancing the querying of the Zilliz vector database. With the assistance of LlamaIndex, context and prompts are efficiently extracted, enriching the information passed to Vertex AI's PaLM (Parameterized Language Model) for generating more prominent and relevant responses. This synergy between LlamaIndex and RAG ensures that the Language Model eliminates LLM hallucinations and accommodates a diverse audience, offering tailored guidance across proficiency levels in both home-based and industrial-grade hydroponic farming. The entire system is seamlessly integrated into a user-friendly Streamlit app, further enhancing accessibility and user interaction.

SHAi - Focused on sustainability, this domain-specific Large Language Model (LLM) is designed to cater to the diverse needs of hydroponic enthusiasts while aligning with eco-friendly agricultural methods, promoting sustainability.

"Cynaptix team on TruEra Challenge: Build LLM Applications Hackathon"

Team Idea

Submission