22 algorithm-"Multiple"-"U"-"Simons-Foundation"-"Prof"-"UNIS" "DIFFER" Fellowship positions at INESC TEC
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TEC. 2. OBJECTIVES: This project aims to compare advanced GANs for tabular data with open-source LLMs that can run on local computers. The goal is to see their strengths, differences, and how well
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solution should also consider the different faults that can occur at the data and metadata levels. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: - Design of an efficient, strictly durable write
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