Topographical sparse mapping: A training framework for deep learning models
sciencedirect.com·2d·
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The Production Generative AI Stack: Architecture and Components
thenewstack.io·19h
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Continuous Autoregressive Language Models : Alternate for traditional LLMs, paper by Tencent
reddit.com·21h·
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Reasoning with Sampling: Your Base Model Is Smarter Than You Think
aakaran.github.io·17h·
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AI Agent Guides from Google, Anthropic, Microsoft, etc. Released This Week
sarthakai.substack.com·12h·
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AI and machine learning outside of Python
infoworld.com·2d
🕸️WebAssembly
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Feature Stores 2.0: The Next Frontier of Scalable Data Engineering for AI
hackernoon.com·2d
🧠LLM Inference
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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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Modern Optimizers – An Alchemist's Notes on Deep Learning
notes.kvfrans.com·5h·
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Handbook of Biological Statistics
biostathandbook.com·45m·
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📊Prometheus
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The future of LLMs: cognitive core and cartridges?
killerstorm.github.io·1d·
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Building Real-Time ML Feature Pipelines with Streaming SQL
timeplus.com·1d·
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📊Prometheus
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The Curved Spacetime of Transformer Architectures
arxiv.org·1d·
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Which Chip Is Best?
blog.confident.security·16h·
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Learning to Model the World with Language
dynalang.github.io·11h·
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Beyond Standard LLMs
magazine.sebastianraschka.com·2d·
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Gemini Deep Research comes to Google Finance, backed by prediction market data
arstechnica.com·14h·
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Discrete Fourier Transform: Introduction (2020)
chciken.com·19h·
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Gleam
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Gated DeltaNet (Linear Attention variant in Qwen3-Next and Kimi Linear)
sebastianraschka.com·4d·
🧠LLM Inference
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