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This hands-on 60-minute workshop for Columbia instructors is designed to help you harness the power of large language models (LLMs) to efficiently generate quizzes for your courses. You’ll learn how ...

nvmath-python brings the power of the NVIDIA math libraries to the Python ecosystem. The package aims to provide intuitive pythonic APIs giving users full access to all features offered by NVIDIA's ...

The Environmental Source Apportionment Toolkit (ESAT) is an open-source software package that provides API and CLI functionality to create source apportionment workflows specifically targeting ...

Post-pandemic, some educators are trying to reengage students with technology – like videos, computer gaming or artificial intelligence, just to name a few. But integrating these approaches in the ...

Mainframe computers are often seen as ancient machines—practically dinosaurs. But mainframes, which are purpose-built to process enormous amounts of data, are still extremely relevant today. If ...

Machine learning is having a moment. Yet even while image generators like DALL·E 2 and language models like ChatGPT grab headlines, experts still don’t understand why they work so well. That makes it ...

The best way to understand neural networks is to build one for yourself. Let's get started with creating and training a neural network in Java. Artificial neural networks are a form of deep learning ...