Nero: Elevate Data Access with LLM-Driven Chat Interface for Instant, Accurate Responses
1International and European Law (LLB), University of Groningen, Groningen, Netherlands
2Computer Science Engineering (BCS), Technical University Eindhoven, Eindhoven, Netherlands
3AI Development, University of Groningen, Groningen, Netherlands
4Form 5, HOGWARTS SCHOOL, Scotland, United Kingdom
5Form 4, HOGWARTS SCHOOL, Scotland, United Kingdom
A Paper Submitted in Partial Fulfilment of the Requirements for IBCOL 2023
Sustainable Development Goals
Keywords
Abstract
Nero | AI Solutions offers customised software solutions for entities who wish to be able to query datasets with a vast amount of information. We do this through the use of Large Language Models (LLMs), which allow the user to simply ask a question to the chat interface and get an accurate answer based on the data fed to the algorithm.
The idea was birthed from the tediousness of spending countless hours scouring our University’s website for information. By taking advantage of recent developments in Artificial Intelligence (AI), we decided to tackle this issue and ideate a way for students to have a faster, simpler, and more efficient way to obtain information from our University’s database and website.
After creating a working version of the program, it was successfully able to perform how we desired, and return the information directly from the university website, providing both summaries of the information and links to the source where the information came from.
After development of this technology, we realised the potential our tool has, particularly in its adaptability to various data collections and real-time data retrieval from hosting servers. This realisation prompted us to engage with businesses in Europe and the US to inquire about challenges related to information dissemination, and product promotion. The concept of a simplified query-based data collections generated significant enthusiasm, leading us to identify another potential application in the government sector, where the inherent complexity of bureaucracy could be eased through the customization of our software for government data.
Riding the wave of the ideas, we decided to split the focus of our endeavours in three colour-coded categories explained in Appendix I.
The colour coding scheme mirrors our company's name, Nero (italian for “black”). Just as black serves as the foundational hue from which these colours emerge, we serve as the catalyst for the growth and development of the associated sectors.