10 Security Operations Center Best Practices Every Security Leader Should Know
vmray.comยท12h
๐ŸŽฏThreat Hunting
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Increase Performance when sending struct accross HTTP / TCP
reddit.comยท4hยท
Discuss: r/golang
๐ŸŒWebSocket Framing
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Show HN: Deep Research Hacker News, ArXiv and Google (Without LLMs)
sturdystatistics.comยท1dยท
Discuss: Hacker News
๐ŸŒ€Brotli Internals
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Kafka is Fast โ€“ I'll use Postgres
topicpartition.ioยท14hยท
๐ŸŒŠStreaming Databases
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Sparse Adaptive Attention โ€œMoEโ€: How I Solved OpenAIโ€™s $650B Problem With a ยฃ700 GPU
medium.comยท1dยท
๐ŸŒŠStreaming Algorithms
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From VS Code to Helix
ergaster.orgยท15hยท
๐ŸŽฏGradual Typing
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Scalable predictive processing framework for multitask caregiving robots
arxiv.orgยท45m
๐Ÿค–Advanced OCR
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Estimating the Error of Large Language Models at Pairwise Text Comparison
arxiv.orgยท2d
๐ŸงฎKolmogorov Complexity
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Gaperon: A Peppered English-French Generative Language Model Suite
arxiv.orgยท45m
โš™๏ธCompression Benchmarking
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Implicature in Interaction: Understanding Implicature Improves Alignment in Human-LLM Interaction
arxiv.orgยท45m
๐ŸŽฏDependent Parsing
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**Automated Wear Debris Analysis & Predictive Maintenance via Acoustic Fingerprinting and Machine Learning**
dev.toยท22hยท
Discuss: DEV
๐ŸŽตAcoustic Fingerprinting
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Typoglycemia under the Hood: Investigating Language Models' Understanding of Scrambled Words
arxiv.orgยท3d
๐Ÿ”—Concatenative Languages
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Uncovering the Potential Risks in Unlearning: Danger of English-only Unlearning in Multilingual LLMs
arxiv.orgยท1d
๐Ÿ’ปLocal LLMs
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How to Eliminate GraphQL N+1 Query Problem in Golang with DataLoader Batching
dev.toยท1dยท
Discuss: DEV
๐ŸŒŠStream Processing
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SABlock: Semantic-Aware KV Cache Eviction with Adaptive Compression Block Size
arxiv.orgยท2d
๐Ÿ“„Text Chunking
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Long-Context Modeling with Dynamic Hierarchical Sparse Attention for On-Device LLMs
arxiv.orgยท1d
๐Ÿ’ปLocal LLMs
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Fortytwo: Swarm Inference with Peer-Ranked Consensus
arxiv.orgยท45m
๐ŸคConsensus Algorithms
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Automated Isotopic Composition Analysis for Meteorite Origin Classification via Hyperdimensional Vectorization
dev.toยท1dยท
Discuss: DEV
๐Ÿค–Paleographic Automation
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4 Techniques to Optimize Your LLM Prompts for Cost, Latency and Performance
towardsdatascience.comยท8h
๐Ÿ“ŠFeed Optimization
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