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

Machine Learning and Monitoring hackathon

Arepa Tech

Juan Carlos Ortiz Drada

saradrada

Yesid Leonardo López Sierra

Steven Quintana

Study Buddy is an innovative iOS application designed to enhance the studying experience for students. It leverages the power of large language models (LLMs) and is anchored on a robust tech stack. The backend is fully deployed on Google Cloud Platform (GCP), utilizing a combination of advanced models including Cloud Vision for OCR, Palm for natural language processing tasks, and Google Cloud Text to Speech. The application integrates Zilliz with Milvus as a Vector Database, ensuring efficient data handling and retrieval. The performance and accuracy of these models are continuously evaluated and monitored using Trulens.

The mobile application, developed in Swift, is tailored for seamless interaction with these backend services. This integration allows the app to offer unique functionalities:

Q&A with Course Content: This feature enables students to query any image or PDF in their course materials. By leveraging the Vision and Text models, the app can interpret and analyze the content, providing immediate and accurate answers directly from the study resources. 

Effortless Flashcard Creation: Utilizing the application's advanced text understanding capabilities, students can instantly convert sections of their course materials into custom flashcards. This allows for efficient and targeted studying, making the process of memorization and revision more effective.

Quiz Image Solver: This innovative function allows students to snap a picture of a questionnaire or exam. The app then uses its Vision model to recognize and interpret the questions, and cross-references with the uploaded course materials to provide accurate answers for each question.

And as a bonus for all the main features, Study Buddy offers text-to-speach functionalities. 

Study Buddy: Transform your study sessions with AI! Instantly answer queries from course materials, automatically create custom flashcards and get quiz solutions with just a photo. Your pocket-sized key to academic success!

"Arepa Tech team on TruEra Challenge: Build LLM Applications Hackathon"

Team Idea

Submission