Tag: beyond
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Beyond NNGP: Large Deviations and Feature Learning in Bayesian Neural Networks
Beyond NNGP: Large Deviations and Feature Learning in Bayesian Neural Networks arXiv:2602.22925v1 Announce Type: new Abstract: We study wide Bayesian neural networks focusing on the rare but statistically dominant fluctuations that govern posterior concentration, beyond Gaussian-process limits. Large-deviation theory provides explicit variational objectives-rate functions-on predictors, providing an emerging notion of complexity and feature learning directly…
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Going Beyond the Context Window: Recursive Language Models in Action
Going Beyond the Context Window: Recursive Language Models in Action Explore a practical approach to analysing massive datasets with LLMs The post Going Beyond the Context Window: Recursive Language Models in Action appeared first on Towards Data Science. Mariya Mansurova Go to original source
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Beyond the Flat Table: Building an Enterprise-Grade Financial Model in Power BI
Beyond the Flat Table: Building an Enterprise-Grade Financial Model in Power BI A step-by-step journey through data transformation, star schema modeling, and DAX variance analysis with lessons learned along the way. The post Beyond the Flat Table: Building an Enterprise-Grade Financial Model in Power BI appeared first on Towards Data Science. Ibrahim Salami Go to original source
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Beyond Prompting: The Power of Context Engineering
Beyond Prompting: The Power of Context Engineering Using ACE to create self-improving LLM workflows and structured playbooks The post Beyond Prompting: The Power of Context Engineering appeared first on Towards Data Science. Mariya Mansurova Go to original source
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Beyond Numbers: How to Humanize Your Data & Analysis
Beyond Numbers: How to Humanize Your Data & Analysis The scintillating grid optical illusion is a perfect metaphor for how raw data can mislead us, causing us to see false trends. To escape the “data-rich, action-poor” paradox, organizations should need data humanization. This approach focuses on turning abstract metrics (the what) into clear, actionable stories…
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Beyond Requests: Why httpx is the Modern HTTP Client You Need (Sometimes)
Beyond Requests: Why httpx is the Modern HTTP Client You Need (Sometimes) A comprehensive comparison of these two Python libraries The post Beyond Requests: Why httpx is the Modern HTTP Client You Need (Sometimes) appeared first on Towards Data Science. Thomas Reid Go to original source
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Beyond ROC-AUC and KS: The Gini Coefficient, Explained Simply
Beyond ROC-AUC and KS: The Gini Coefficient, Explained Simply Understanding Gini and Lorenz curves for smarter model evaluation The post Beyond ROC-AUC and KS: The Gini Coefficient, Explained Simply appeared first on Towards Data Science. Nikhil Dasari Go to original source
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Beyond Model Stacking: The Architecture Principles That Make Multimodal AI Systems Work
Beyond Model Stacking: The Architecture Principles That Make Multimodal AI Systems Work Transforming Independent Models into Collaborative Intelligence The post Beyond Model Stacking: The Architecture Principles That Make Multimodal AI Systems Work appeared first on Towards Data Science. Eric Chung Go to original source
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Beyond Code Generation: Continuously Evolve Text with LLMs
Beyond Code Generation: Continuously Evolve Text with LLMs Long-running content evolution and an introduction to result analysis The post Beyond Code Generation: Continuously Evolve Text with LLMs appeared first on Towards Data Science. Julian Mendel Go to original source
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Beyond Shapley Values: Cooperative Games for the Interpretation of Machine Learning Models
Beyond Shapley Values: Cooperative Games for the Interpretation of Machine Learning Models arXiv:2506.13900v1 Announce Type: new Abstract: Cooperative game theory has become a cornerstone of post-hoc interpretability in machine learning, largely through the use of Shapley values. Yet, despite their widespread adoption, Shapley-based methods often rest on axiomatic justifications whose relevance to feature attribution remains…