DBIS

In today’s digital era, information disseminates rapidly through online platforms, such as Twitter. Those platforms have fundamentally transformed how societies communicate, share, and perceive information. On the other hand, it also presents challenges, notably in the spread of false information or so-called fake news. The spread of fake news has been shown to sway public opinion, disrupt electoral processes, and even endanger public safety.

Writing is an essential skill in both academic and professional contexts, that allows individuals to convey their thoughts, ideas, and information in a clear and concise manner. However, it can still be challenging to write effectively, efficiently, and accurately, especially for non-native speakers of the language.

The immense growth of scientific literature makes it nearly impossible for researchers to keep pace with all new developments in their domains. An automated scientific Question Answering (QA) system could substantially expedite the process of literature review, hypothesis generation, and knowledge extraction. With the emergence of Large Language Models (LLMs) like GPT, BERT, and their successors, the landscape of QA has significantly shifted.

In recent years, the advancements in natural language processing and machine learning have revolutionized various industries and domains.

This thesis aims to explore the potential of training a Large Language Model (LLM) on Git source code repositories to enable it to effectively respond to queries regarding the codebase, such as dependencies and functionality.

Analysing Policy Documents Using AI

Analysing Scientific Publications Using AI

Detect Flames in industrial Video data using edge devices.