Abstract: Sharing relational databases is essential in today’s data-driven world for fostering collaboration, enhancing efficiency, and enabling real-time data access. However, privacy and copyright ...
Sparse Autoencoders (SAEs) have recently gained attention as a means to improve the interpretability and steerability of Large Language Models (LLMs), both of which are essential for AI safety. In ...
Abstract: This research work proposes a LLM-powered chatbot aimed at supporting students and educators in databases and information systems in higher education. The chatbot leverages the capabilities ...
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