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Pandemic fitness trend continues: Americans embrace calisthenics done at home
washingtontimes.com·14h
💪Fitness
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You Win Some, You Lose Some: On Papercraft and More
noteflakes.com·14h·
💻Software Engineering
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Surviving the great commoditizer: Stop getting «good» at LLMS
hitsubscribe.com·19h·
Discuss: Hacker News
💻Software Engineering
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MoM – Mixture of Model Service
github.com·15h·
Discuss: Hacker News
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Understanding Word Embedding: Bridging Language and Numbers
dev.to·1d·
Discuss: DEV
🤖Machine Learning
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[D] How should i handle extreme class imbalance in a classification?
reddit.com·10h·
🤖Machine Learning
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Learning Time-Varying Graph Signals via Koopman
arxiv.org·1d
🤖Machine Learning
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We Spent Years Learning DSA… Now AI Solves It Faster. What Are We Even Proving?
reddit.com·1d·
💻Software Engineering
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Emulating Radiative Transfer in Astrophysical Environments
arxiv.org·2h
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AI-Driven Contribution Evaluation and Conflict Resolution: A Framework & Design for Group Workload Investigation
arxiv.org·2h
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L2T-Hyena: Enhancing State-Space Models with an Adaptive Learn-to-Teach Framework
arxiv.org·1d
🤖Machine Learning
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Adam symmetry theorem: characterization of the convergence of the stochastic Adam optimizer
arxiv.org·1d
🤖Machine Learning
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Walsh-Hadamard Neural Operators for Solving PDEs with Discontinuous Coefficients
arxiv.org·1d
🤖Machine Learning
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Sensitivity of Small Language Models to Fine-tuning Data Contamination
arxiv.org·1d
🤖Machine Learning
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NOTAM-Evolve: A Knowledge-Guided Self-Evolving Optimization Framework with LLMs for NOTAM Interpretation
arxiv.org·2h
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NILC: Discovering New Intents with LLM-assisted Clustering
arxiv.org·1d
🤖Machine Learning
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A Diffusion Model to Shrink Proteins While Maintaining Their Function
arxiv.org·1d
🤖Machine Learning
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QuAnTS: Question Answering on Time Series
arxiv.org·2d
🤖Machine Learning
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