Deep Learning Without Training
zenodo.org·3h·
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Sparse Attention MoE - a test repo for a novel swappable attention mechanism
github.com·9h·
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The Production Generative AI Stack: Architecture and Components
thenewstack.io·1d
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Topographical sparse mapping: A training framework for deep learning models
sciencedirect.com·3d·
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AI Agent Guides from Google, Anthropic, Microsoft, etc. Released This Week
sarthakai.substack.com·23h·
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Reasoning with Sampling: Your Base Model Is Smarter Than You Think
aakaran.github.io·1d·
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AI and machine learning outside of Python
infoworld.com·2d
🕸️WebAssembly
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Continuous Autoregressive Language Models : Alternate for traditional LLMs, paper by Tencent
reddit.com·1d·
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Being too nice online is a dead giveaway for AI bots, study suggests
arstechnica.com·2h
🧠LLM Inference
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Feature Stores 2.0: The Next Frontier of Scalable Data Engineering for AI
hackernoon.com·2d
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Continuous Autoregressive Language Models
shaochenze.github.io·2d·
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Physics-driven self-supervised learning for 3D light-field microscopy
nature.com·1d·
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DS-STAR: A state-of-the-art versatile data science agent
research.google·1d·
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📊Prometheus
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Modern Optimizers – An Alchemist's Notes on Deep Learning
notes.kvfrans.com·16h·
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Handbook of Biological Statistics
biostathandbook.com·11h·
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📊Prometheus
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The future of LLMs: cognitive core and cartridges?
killerstorm.github.io·2d·
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Building Real-Time ML Feature Pipelines with Streaming SQL
timeplus.com·2d·
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📊Prometheus
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The Curved Spacetime of Transformer Architectures
arxiv.org·1d·
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Getty Images vs. Stability AI: High Court Ruling on AI, Copyright and Trademarks
technollama.co.uk·2h·
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📊Prometheus
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Show HN: Pingu Unchained an Unrestricted LLM for High-Risk AI Security Research
pingu.audn.ai·1h·
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