GPT-4 Powered App Creation and Evals Hackathon

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TruEra Opening Words

Hackathon Guide and Lablab Platform Walk-through

OpenAI Workshop

Workshop - Retrieval Augmented Generation with Pinecone

Workshop - Advanced Evaluation Methods with TruLens

General Q&A session on Discord

Workshop - Make your app reliable, cost-efficient, and fast with Portkey

Submissions Deadline

Harnessing the power of AI and natural language processing to drive innovation

GPTeam

dontj

dspasibenko

Veso

According to a study by McKinsey, employees spend almost 2 hours per day searching and gathering information. Manual extraction processes cannot scale to handle large volumes of data.

Automated data extraction solves the inefficiencies of manual information gathering. LexaScan is an AI solution that extracts data from text and images, delivering structured JSON format.

We used GPT-4 Vision from OpenAI to extract data from text and images. We also used TruLens to ensure that the output is relevant and harmless.

The total addressable market for data extraction software was estimated at $1.4 billion US dollars in 2022 and is expected to reach $3.8 billion dollars by 2028. Conservatively, we estimate the serviceable addressable market to be $140 million and the serviceable obtainable market to be $42 million.

Data extraction from image and text using GPT-4 Vision and TruLens.

LexaScan

"GPTeam team on GPT-4 Powered App Creation and Evals Hackathon Hackathon"

Team Idea

Submission