Kategorie: ‘Theses’
Scientific Question Answering using Retrieval-Augmented Large Language Models
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.
Using LLMs to Support Modernization of Legacy Systems
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.
Developing a Flexible Interface for Agent-Behaviors inMulti-Agent-System Simulations of Electrical Power Systems
Analysing Policy Documents using AI-based Large Language Models (LLMs)
Analysing Policy Documents Using AI
Analysing Scientific Publications using AI-based Large Language Models (LLMs)
Analysing Scientific Publications Using AI
Synopsis operators for a distributed on-the-edge streaming architecture
Near Real-time Anomaly Detection from Videostreams using WASM and Machine Learning
Detect Flames in industrial Video data using edge devices.
Model-based Data Sharing Across Organizations
Towards bridging the Gap between Proccesses and Data