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

Terms and Conditions GPT, an app that summarizes your ToS you signed up for

Surrey CV and NLP

Sebastian Dan

GracjanPW

arnoan

Rarely people read the whole data corpus of terms of service when they sign up for companies and we came with a solution:
The primary objective of Term Aware Guard is to simplify the readability of Terms and Conditions, providing a summarized version and ensuring that users are well-informed about data privacy beforehand. It is a web app with built with Next.js using GCP for hosting and Firebase for storing the companies the user has signed up for. The web app uses Python environment REST API hosted on Digital Ocean for the backend. We use Google Vertex AI PaLM2 on text-bison002 model for inference, a large language model with impressive capabilities. Terms and conditions of companies change constantly, and fine tuning the model everytime that happens could be very costly and inefficient, for that we found a solution.  We use Retrieval augmented generation(RAG) to enhance the model's summarization capabilities and to get the context of the latest updated version ToS of companies. The model is evaluated with the help of TruLens to measure its quality with feedback and metrics. We used Apify for gathering the data by web scrapping and Pinecone as a vector store where RAG gets context from.


Term and Conditions web app summarizer using GoogleVertexAI models and TruLens for evaluation 

"Surrey CV and NLP team on TruEra Challenge: Build LLM Applications Hackathon"

Team Idea

Submission