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Building blobd: single-machine object store with sub-millisecond reads and 15 GB/s uploads
blog.wilsonl.in·1d·
Discuss: Hacker News
🔲Zarr
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News for October 2025
ptreview.sublinear.info·17h
🔲Zarr
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Writing an LLM from scratch, part 27 – what's left, and what's next?
gilesthomas.com·15h·
Discuss: Hacker News
⛰️Gradient Descent
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Moving regression artificial neural network framework for reliability evaluation of complex structure/system
sciencedirect.com·1h
⛰️Gradient Descent
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Graphing in JavaScript
dev.to·1d·
Discuss: DEV
📊D3.js
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Towards Automated Petrography
arxiv.org·11h
📐Computational Geometry
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SciTextures: Collecting and Connecting Visual Patterns, Models, and Code Across Science and Art
arxiv.org·11h
📐Computational Geometry
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Toward a Compressed Core of Human Knowledge: The High-Dimensional Vector Network for AI
reddit.com·1d·
Discuss: r/AfterClass
🔢Embeddings
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Transformer-Based Decoding in Concatenated Coding Schemes Under Synchronization Errors
arxiv.org·11h
🔲Zarr
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Post-training methods for language models
developers.redhat.com·9h
⛰️Gradient Descent
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Probabilistic Robustness for Free? Revisiting Training via a Benchmark
arxiv.org·11h
⛰️Gradient Descent
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Spatial Secrets: Unleashing Language Models with Unexpected Masking by Arvind Sundararajan
dev.to·11h·
Discuss: DEV
🔢Embeddings
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Hyper Hawkes Processes: Interpretable Models of Marked Temporal Point Processes
arxiv.org·11h
🔗Markov Chains
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Synthesized Generative Modeling via Graph-Constrained Semantic Embedding
dev.to·2d·
Discuss: DEV
🔢Embeddings
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EP-HDC: Hyperdimensional Computing with Encrypted Parameters for High-Throughput Privacy-Preserving Inference
arxiv.org·11h
📦HDF5
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Efficient Test-Time Retrieval Augmented Generation
arxiv.org·11h
🔢Embeddings
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Predicting & Mitigating Data Corruption in Pure Storage Flash Arrays via Adaptive Bit Error Rate Modeling
dev.to·5h·
Discuss: DEV
🔲Zarr
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Optimizing Native Sparse Attention with Latent Attention and Local Global Alternating Strategies
arxiv.org·11h
⛰️Gradient Descent
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Hierarchical Chromosome Segmentation via Adaptive Spectral Graph Convolutional Networks
dev.to·2d·
Discuss: DEV
🗺️UMAP
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