🤖 AI

LLM, Diffusion, Computer Vision, Statistical Learning, GAN, Vector

Topographical sparse mapping: A training framework for deep learning models
sciencedirect.com·2d·
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Modern Optimizers – An Alchemist's Notes on Deep Learning
notes.kvfrans.com·9h·
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Show HN: Linguistic RL – A 7B model discovers Occam's Razor through reflection
github.com·27m·
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Continuous Autoregressive Language Models
shaochenze.github.io·2d·
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BindWeave: Subject-Consistent Video Generation Platform
bindweave.video·3h·
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The Curved Spacetime of Transformer Architectures
arxiv.org·1d·
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Mathematical exploration and discovery at scale
terrytao.wordpress.com·1d·
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Physics-driven self-supervised learning for 3D light-field microscopy
nature.com·1d·
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EvolutionaryScale Acquired by CZI
biohub.org·20h·
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Numbers Show How Camera+AI Will Overpower Lidar in AVs
getfocus.eu·1d·
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Beyond Standard LLMs
magazine.sebastianraschka.com·3d·
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Discrete Fourier Transform: Introduction (2020)
chciken.com·1d·
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Learning to Model the World with Language
dynalang.github.io·15h·
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Neuromorphic Intelligence Promises a New Era of Brain-Like Sustainable AI
dailyneuron.com·2h·
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GEN-0: SoTA 10B+ Foundation Model for Robotics with Harmonic Reasoning
generalistai.com·2d·
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When deep thinking turns into deep hallucination
techkettle.blogspot.com·4h·
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A Practitioner's Guide to Kolmogorov-Arnold Networks
arxiviq.substack.com·4d·
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How We Built a Custom Vision LLM to Improve Document Processing at Grab
engineering.grab.com·3d·
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Reasoning with Sampling: Your Base Model Is Smarter Than You Think
aakaran.github.io·22h·
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The future of LLMs: cognitive core and cartridges?
killerstorm.github.io·1d·
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