The project involves analysing customer emails to procure insights, streamline requests and automate customer support workflows. The objective is to create a LLAMA Model that can generate a prompt-based classification for emails, identify text elements that need to be preserved and maintain a context- aware approach to this classification.
The process of the project involves identifying key factors for ground truth labelling for emails, studying LLAMA model exploration, studying preprocessing details and identifying the key technical takeaways. Teams explore various areas like delivery services, shipment tracking, privacy and delivery issues to understand the possibilities of applying the LLAMA Model.
Objectives
1. Classification of Customer Pain Points from Unstructured Email Communications to Enhance Service Response using Large Language Models.
Contributing Researchers:
Aditi Deo Singh (Masters)
Bhavya Dhingra (MBA)
Alan Mathew (B.Tech)
Utsav Bhardwaj (Masters)
