BitNetMCU with CNN: >99.5% MNIST accuracy on a low-end Microcontroller
cpldcpu.comยท1d
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A Plan for 5-10%* Faster Free-Threaded JIT by Python 3.16
fidget-spinner.github.ioยท1dยท
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Show HN: Steadykey โ€“ Deterministic Idempotency Keys with Pluggable Stores
npmjs.comยท1dยท
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Make Python Up to 150ร— Faster with C
towardsdatascience.comยท10h
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EmoBang: Detecting Emotion From Bengali Texts
arxiv.orgยท56m
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Real-Time Bundle Adjustment for Ultra-High-Resolution UAV Imagery Using Adaptive Patch-Based Feature Tracking
arxiv.orgยท56m
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Mathematical Modeling and Error Estimation for the Thermal Dunking Problem: A Hierarchical Approach
arxiv.orgยท56m
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E2E-VGuard: Adversarial Prevention for Production LLM-based End-To-End Speech Synthesis
arxiv.orgยท56m
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Walsh-Hadamard Neural Operators for Solving PDEs with Discontinuous Coefficients
arxiv.orgยท56m
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Diving into Rama: A Clojure LSH Vector Search Experiment
shtanglitza.aiยท3dยท
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Book review: โ€œBuild a DeepSeek Model (From Scratch)โ€
dev.toยท2dยท
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Base64 Encoder โ€” Wrap Your Data in a Cozy Little Blanket ๐Ÿ•ต๏ธโ€โ™‚๏ธ๐Ÿงฃ
dev.toยท2dยท
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EncouRAGe: Evaluating RAG Local, Fast, and Reliable
arxiv.orgยท1d
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Adaptive AI: Making Edge Inference Smart and Fast by Arvind Sundararajan
dev.toยท8hยท
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Andrej Karpathy on LLM cognitive deficits
lesswrong.comยท8h
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Hybrid Autoencoders for Tabular Data: Leveraging Model-Based Augmentation in Low-Label Settings
arxiv.orgยท56m
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GPTF-8: A tokenizer-based character encoding
lesswrong.comยท3d
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DARN: Dynamic Adaptive Regularization Networks for Efficient and Robust Foundation Model Adaptation
arxiv.orgยท1d
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