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LLMs Can Infer Your Personality From Your Social Media Feed — What Now?Recent advances in artificial intelligence (AI) are bringing capabilities once thought to be uniquely human closer to reality every day…

Model Calibration in Machine LearningMachine learning models are not only expected to make accurate predictions but also to estimate their confidence in these predictions…

Prediction Intervals in Machine LearningMachine learning models are powerful tools — but how can we quantify the uncertainty that is associated with their predictions?

Commentary: Gzip + kNN Beats Deep Neural Networks in Text ClassificationThats right… A 14-line python script using a 30-year-old data compression algorithm in combination with a 70-year-old classification…

Natural Language Processing and Knowledge GraphsNatural language processing (NLP) and knowledge graphs are two critical areas in machine learning and AI that have seen tremendous growth…

Some Thoughts on Generative AI and ArtThe integration of machine learning with various forms of art, such as music, painting, and literature, opens up novel possibilities for…

Some Thoughts on Adversarial Attacks in Machine LearningAn adversarial attack in machine learning is a process where “noise” that may appear random to a human is added to the input data to…

Some Thoughts on Self-Supervised Machine LearningSelf-supervised learning, an emerging paradigm in machine learning, has seen a surge of interest in recent years. This approach leverages…

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