White Paper Accelerator
Uses LLMs to turn videos, audio, and documents into editable white papers with templated sections and an assistant panel.
2023 · Solo project
A tool that uses large language models (LLMs) to transform a variety of inputs (such as documents and audio files) into structured white papers through customizable paragraph templates. It also includes a chatbot assistant side panel that allows users to iteratively refine and modify the generated content.
In the wake of ChatGPT’s release and the broader adoption of LLMs in late 2022, I was tasked with building this product to enable rapid conversion of unstructured content into professional white papers using the GPT-3.5-Turbo API.
Working on this project was especially exciting, as the pace of innovation in the LLM space was accelerating even during development.
While I no longer have access to the source code since it was built for a company, the application was developed as a full-stack solution using React and C#, deployed on Azure, and integrated with OpenAI’s API. Python and Whisper were used for audio processing, and Docker handled containerization.