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AUTOMAPPER

Two folders include:

  • The actual app POC/DEMO

Automapper is a Streamlit-based web application designed to automate the processing, review, and archival of file submissions using AI-powered predictions. It integrates with Snowflake for data storage, staging, and user authentication, while leveraging a fine-tuned T5 model from Hugging Face Transformers for generating business-critical data mapping.

SOME CODE AND PROCESSES HAVE BEEN REDACTED/ALTERED FOR PRIVACY AND WILL NOT BE UPDATED.

Actual finetuned model not included in repo.

  • T5 finetuning training & inference script notebook. The script is set up for a business specific project, it trains on custom dataset and processes outputs in applicable manner. The inference script weights rely on business context to reproduce.

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A business specific use case leveraging a LLM (T5) to automate data mapping.

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