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

Creating innovative solutions for underrepresented and underfunded medical conditions

HealthSavvy

Inni

NimraOnline

naotakahashi93

Jessi

Our commitment to advancing healthcare for underrepresented medical conditions led us to explore cutting-edge AI solutions. In our pursuit, we leveraged the power of TruLens to meticulously compare the performance of GPT-4 Vision against our custom-built model. This model, carefully trained in Vertex AI using a bespoke dataset we meticulously curated, showcased promising results.

Surprisingly, our analysis revealed that GPT-4 Vision did not outperform our custom model by a significant margin. However, given the marginal difference and the sheer convenience offered by GPT-4, we decided to integrate it into our solution. The decision proved strategic, setting the stage for further advancements.

Taking our innovation to the next level, we implemented RAG methodology with the help of our Zilliz database with informative Articles on TMJ exercise. This enhancement propelled our results tenfold, optimizing the accuracy and reliability of our AI solution. This transformation wouldn't have been possible without the advanced capabilities of technologies such as Vertex AI and TruLens.

The amalgamation of these powerful tools enabled us to craft an exceptional AI physical therapist. Not only is it more cost-effective, but it also provides richer and more informative insights. Our AI physical therapist is not just a technological marvel; it's a testament to the positive impact technology can have on healthcare accessibility and effectiveness.

Through our journey of innovation and collaboration with leading AI technologies, we've created a solution that goes beyond expectations, offering a reliable and trustworthy resource for the medical field. 

Innovating AI Solutions for underrepresented Medical Conditions with TrueLens 

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

Team Idea

Submission