DS-STAR: A state-of-the-art versatile data science agent
research.google·1d·
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Continuous Autoregressive Language Models : Alternate for traditional LLMs, paper by Tencent
reddit.com·2d·
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Deep Learning Without Training
zenodo.org·20h·
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Can LLMs subtract numbers?
arxiv.org·3d·
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Best Digital Marketing Institute in Allahabad – Ndmit Prayagraj
ndmit.com·6d·
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Diving into Rama: A Clojure LSH Vector Search Experiment
shtanglitza.ai·14h·
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Show HN: Linguistic RL – A 7B model discovers Occam's Razor through reflection
github.com·1d·
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How LLMs Read Docs
aiwiki.dev·6h·
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Show HN: Pingu Unchained an Unrestricted LLM for High-Risk AI Security Research
pingu.audn.ai·18h·
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Introducing Nested Learning: A new ML paradigm for continual learning
research.google·22h·
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Continuous Autoregressive Language Models
shaochenze.github.io·3d·
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Topographical sparse mapping: A training framework for deep learning models
sciencedirect.com·3d·
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SampCert: Verified Foundations for Differential Privacy (PLDI 2025)
dl.acm.org·1d·
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Handbook of Biological Statistics
biostathandbook.com·1d·
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LangChain Open Deep Research Internals: A step-by-step guide
bolshchikov.com·5h·
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Modern Optimizers – An Alchemist's Notes on Deep Learning
notes.kvfrans.com·1d·
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Token-Optimized Notation Language
tonl.dev·23h·
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EvolutionaryScale Acquired by CZI
biohub.org·1d·
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AI Capabilities May Be Overhyped on Bogus Benchmarks, Study Finds
gizmodo.com·1d·
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Show HN: Computational Metaphysics: Zeroth Implementation of Grover's and Shor's
polymetron.substack.com·3h·
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