SurendiranS / Smart-Ediscovery

Smart eDiscovery using Large Language Model with Streamlit

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Smart-Ediscovery

Smart eDiscovery using Large Language Model with Streamlit

Description

This project implemented using Langchain framework and Chroma DB, an open-source embedding database. It uses LaMini-T5-738M model a fine-tuned version of t5-large on LaMini-instruction dataset which contains 2.58M samples for instruction fine-tuning.

Running the Code

To install the requirements for this project, run the following command:

$ pip install -r requirements.txt

To use this project, run the app.py script

$ streamlit run app.py

image

About

Smart eDiscovery using Large Language Model with Streamlit

License:MIT License


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Language:Python 100.0%