Use Case
Use cases explore the practical applications of various AI techniques across diverse domains, aiming to demonstrate their effectiveness and identify challenges in real-world scenarios. Current research focuses on leveraging large language models (LLMs), convolutional neural networks (CNNs), and generative AI (e.g., GANs, VAEs) for tasks ranging from human action recognition and code generation to synthetic data creation and multilingual text analysis. This research is crucial for evaluating the efficacy and limitations of AI technologies, informing responsible development, and driving the adoption of AI solutions in fields like healthcare, manufacturing, and legal tech.
Papers
Towards A Structured Overview of Use Cases for Natural Language Processing in the Legal Domain: A German Perspective
Juraj Vladika, Stephen Meisenbacher, Martina Preis, Alexandra Klymenko, Florian Matthes
Open-Source Drift Detection Tools in Action: Insights from Two Use Cases
Rieke Müller, Mohamed Abdelaal, Davor Stjelja