Abstract

As the potential of large language models (LLMs) grows, we can help businesses automate previously human-dependent processes. One such process that is crucial for many businesses is the processing of RFPs (requests for proposals). This process usually involves reading clients' emails, searching for the necessary details, and generating proposals for potential clients.
This project aims to reduce the manual work involved in the RFP process. We believe that with the help of a clever AI system, only a fraction of man-hours will be needed to accomplish what teams of people spend many hours every week. Specifically, our solution utilizes LLM to process emails and their attachments to extract product-related information that humans only need to verify and price.

Visual Abstract

Slides

Readings

1. Analyzing Unstructured PDF Data w/ Embedding Models and LLMs https://towardsdatascience.com/analyzing-unstructured-pdf-data-w-embedding-models-and-llms-f83ae9a57c2b 
2. The (lesser known) rising application of LLMs - structuring unstructured data https://towardsdatascience.com/the-lesser-known-rising-application-of-llms-775834116477 
3. 10 Ways to Improve the Performance of Retrieval Augmented Generation Systems https://towardsdatascience.com/10-ways-to-improve-the-performance-of-retrieval-augmented-generation-systems-5fa2cee7cd5c
   

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