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

Solo team first. Then find the members latter.

JTAVN Team

johnnietien

Democratizing Healthcare Information: A Google AI-powered Medical Chatbot
In today's information-rich world, accessing accurate and reliable healthcare information can be a complex and time-consuming endeavor. This project aims to break down these barriers by developing a readily available medical chatbot powered by Google's cutting-edge AI technologies.

Leveraging the powerful capabilities of Google Palm2 LLM and the expansive knowledge base of Google Enterprise Search (Vertex AI Search and Conversation), this chatbot will be pre-trained with a vast repository of medical and healthcare information from reputable sources like MSD. This eliminates the need for costly fine-tuning, ensuring a cost-effective solution while guaranteeing accurate and up-to-date information for users.

More than just a source of answers, the chatbot serves as a personal health companion, empowering individuals to take control of their well-being. Users can ask questions about various health topics, from common ailments to complex medical conditions, receiving informative and reliable responses in an easy-to-understand format. This fosters informed decision-making and promotes proactive health management.

The impact of this project extends beyond individual users. By enabling seamless integration into any website, the chatbot empowers organizations to enrich their user experience and provide readily available health information to their audience. This democratizes access to reliable healthcare knowledge, fostering a more informed and empowered healthcare landscape.

With its innovative approach and user-centric design, this Google AI-powered medical chatbot promises to revolutionize the way individuals and organizations access and engage with healthcare information. By making accurate and reliable knowledge readily available, it empowers individuals to take charge of their health and paves the way for a future where healthcare information is accessible to all.

Leveraging Google AI for accessible healthcare information: A Medical Chatbot with Google Palm2 LLM and Enterprise Search.

"JTAVN Team team on TruEra Challenge: Build LLM Applications Hackathon"

Team Idea

Submission