Heinrich PetersLLMs 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…Sep 29, 2023Sep 29, 2023
Heinrich PetersPrediction Intervals in Machine LearningMachine learning models are powerful tools — but how can we quantify the uncertainty that is associated with their predictions?Jul 21, 20231Jul 21, 20231
Heinrich PetersCommentary: 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…Jul 13, 20236Jul 13, 20236
Heinrich PetersModel Calibration in Machine LearningMachine learning models are not only expected to make accurate predictions but also to estimate their confidence in these predictions…Jul 9, 20231Jul 9, 20231
Heinrich PetersSome Thoughts on 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…Jul 7, 2023Jul 7, 2023
Heinrich PetersSome 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…Jul 5, 20231Jul 5, 20231
Heinrich PetersSome 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…Jun 21, 2023Jun 21, 2023
Heinrich PetersSome 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…Jun 19, 2023Jun 19, 2023