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Unlock the Secrets of AI Learning! ????Ever wondered how generative AI, the powerhouse behind stunning images and sophisticated text, truly learns? Park et al.'s groundbreaking study, ‘Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space,’ offers a revolutionary new perspective. Forget black boxes – this research unveils a "concept space" where AI learning becomes a visible journey!By casting ideas into geometric space, the authors bring to life how AI models learn step by step, stripping bare the order and timing of their knowledge. See the crucial role played by the "concept signal" in predicting what a model is first going to learn and note the fascinating "trajectory turns" revealing the sudden "aha!" moments of emergent abilities.This is not a theoretical abstraction – the framework has deep implications in the real world:Supercharge AI Training: Optimise training data to speed learning and improve efficiency.Demystify New Behaviours: Understand and even manage unforeseen strengths of state-of-the-art AI.Debug at Scale: Gain unprecedented insights into the knowledge state of a model to identify and fix faults.Future-Proof AI: This mode-agnostic feature primes the understanding of learning in other AI systems.This study is a must-read for all who care about the future of AI, from scientists and engineers to tech geeks and business executives. It's not only what AI can accomplish, but how it comes to do so.Interested in immersing yourself in the captivating universe of AI learning?Click here to read the complete article and discover the secrets of the concept space! #AI #MachineLearning #GenerativeAI #DeepLearning #Research #Innovation #ConceptSpace #EmergentCapabilities #AIDevelopment #Tech #ArtificialIntelligence #DataScience #FutureofAI #Interpretability

From the @DSLC :rstats:​chives:

:rstats: ISLR: Deep Learning youtu.be/c-4eXkKrlvo #RStats #DeepLearning #AI

:rstats: Advanced R: Chapters 23-24: Measuring & Improving Performance (advr_cohort-01) youtu.be/YngflemRSD0 #RStats

:rstats: Practical Stats for Data Scientists: Ch5: Classification youtu.be/4rBHx49v0Zo #RStats

:rstats: R for Data Science: Data transformation Part 2 youtu.be/_NbdlBznxIE #RStats

Visit dslc.video for hours of new #DataScience videos every week!

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🌟 Meet our second GBCC2025 keynote: Dr. Sergei Pond, Professor of Biology and Associate Dean for Research at Temple University.

Dr. Pond directs the Center for Viral Evolution and develops computational tools to study fast-evolving pathogens like HIV. His work bridges molecular epidemiology, immune dynamics, and viral evolution.

Hear him speak this June at Cold Spring Harbor!

gbcc2025.bioconductor.org/prog

gbcc2025.bioconductor.orgInvited Speakers

Nächste Woche bei „LiLi revisited: Digitale Schnittstellenforschung zwischen Literaturwissenschaft und Linguistik“:

📅 20. Mai, 10-12: @nilsreiter (Universität Köln): More Open Science is not always the same as better science
👀: Hybrid! Raum X-E1-201 / Zoom: uni-bielefeld.zoom-x.de/j/6273

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