Using the probabilistic method to bound the performance of toy transformers by Alex Gibson
greaterwrong.com·12h
🧮Algorithms
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Charting the future of AI, from safer answers to faster thinking
news.mit.edu·14h
📈Machine Learning
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<p>**Abstract:** This paper proposes a novel framework for patient stratification in early-stage Alzheimer’s disease (ASD) utilizing hyperdimensional proc...
freederia.com·18m
📈Machine Learning
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Fair and Explainable Credit-Scoring under Concept Drift: Adaptive Explanation Frameworks for Evolving Populations
arxiv.org·7h
📈Machine Learning
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Normalized Entropy or Apply Rate? Evaluation Metrics for Online Modeling Experiments
engineering.indeedblog.com·3h
📈Machine Learning
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Is AI After My Job? Navigating the Future of Research Software Engineering
software.ac.uk·1h
🤖AI
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Minimizing Loss ≠ Maximizing Intelligence
lesswrong.com·7h
🤖AI
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An introduction to program synthesis (Part II) - Automatically generating features for machine learning
🧮Algorithms
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Self-Attention: The Simple Mechanism That Made ChatGPT Possible
pub.towardsai.net·7h
📈Machine Learning
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The Production Generative AI Stack: Architecture and Components
thenewstack.io·20h
🤖AI
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Design principles for more reliable and trustworthy AI artists
techxplore.com·9h
🤖AI
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TIL about Model Collapse. When an AI learns from other AI generated content, errors can accumulate, like making a photocopy of a photocopy over and over again.
🤖AI
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Emulating human-like adaptive vision for efficient and flexible machine visual perception
nature.com·1d
📈Machine Learning
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Alleviating Hyperparameter-Tuning Burden in SVM Classifiers for Pulmonary Nodules Diagnosis with Multi-Task Bayesian Optimization
arxiv.org·1d
📈Machine Learning
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SORTeD Rashomon Sets of Sparse Decision Trees: Anytime Enumeration
arxiv.org·1d
📈Machine Learning
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