Predictive maintenance at the heart of Industry 4.0
edn.com·6h
🤖AI
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What I learned building a language-learning app
🤖AI
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“Reasoning with Sampling” — Notes on Karan & Du (2025)
kosti.bearblog.dev·3d
🤖AI
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On Text Simplification Metrics and General-Purpose LLMs for Accessible Health Information, and A Potential Architectural Advantage of The Instruction-Tuned LLM ...
arxiv.org·2d
💎Ruby
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Lookahead Unmasking Elicits Accurate Decoding in Diffusion Language Models
arxiv.org·1d
🤖AI
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Why is MiniMax M2 a Full Attention model?
🤖AI
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Analysing Environmental Efficiency in AI for X-Ray Diagnosis
arxiv.org·14h
🤖AI
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AdvisingWise: Supporting Academic Advising in Higher Educations Through a Human-in-the-Loop Multi-Agent Framework
arxiv.org·1d
🤖AI
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Hybrid Autoencoders for Tabular Data: Leveraging Model-Based Augmentation in Low-Label Settings
arxiv.org·1d
🤖AI
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Explaining Bayesian Neural Networks
arxiv.org·1d
🤖AI
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Argus: Quality-Aware High-Throughput Text-to-Image Inference Serving System
arxiv.org·1d
🤖AI
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The Online Patch Redundancy Eliminator (OPRE): A novel approach to online agnostic continual learning using dataset compression
arxiv.org·14h
🤖AI
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I'm new to LLMs and just ran my first model. What LLM "wowed" you when you started out?
🤖AI
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One Model for All: Universal Pre-training for EEG based Emotion Recognition across Heterogeneous Datasets and Paradigms
arxiv.org·14h
🤖AI
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