Wild 0.7 Released For This Very Fast Linker Written In Rust
phoronix.comยท2d
๐ŸDarwin
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Writing a Data Science Book with Quarto (Using Jupyter Notebooks or Pandoc)
blog.stephenturner.usยท2dยท
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๐Ÿ’ŽRefinement Types
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Parallel achieves 70% accuracy on SEAL, benchmark for hard web research
parallel.aiยท1dยท
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๐Ÿ”€OCaml Multicore
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Hybrid-Attention models are the future for SLMs
inference.netยท2dยท
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๐ŸงฉParser Combinators
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Automated Exoplanet Atmospheric Biosignature Discrimination via Spectral Decomposition & Machine Learning
dev.toยท21hยท
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๐Ÿ‘๏ธObservability
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Adaptive Phase-Change Material Integration for Edge AI Server Thermal Management
dev.toยท8hยท
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๐Ÿ’ปQEMU
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Rapid-eks โ€“ Production EKS in 13 minutes with Terraform + Python
hackernoon.comยท8h
๐Ÿ”งDevOps
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Automated Semantic Scene Graph Construction & Validation for Real-Time USD Pipelines
dev.toยท1dยท
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๐Ÿ“ŠRuntime Verification
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๐ŸŽ™๏ธ Building a Text-to-Speech (TTS) GUI with Python
dev.toยท21hยท
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๐Ÿ’ฌMach Messages
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Mastra agent and Telex equals super integration
dev.toยท2dยท
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๐Ÿ”ŒAPIs
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ROVER: Benchmarking Reciprocal Cross-Modal Reasoning for Omnimodal Generation
arxiv.orgยท2d
๐ŸŽฏHindley-Milner
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Self-Harmony: Learning to Harmonize Self-Supervision and Self-Play in Test-Time Reinforcement Learning
arxiv.orgยท2d
๐ŸŽฎVerification Games
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A Comparative Analysis of LLM Adaptation: SFT, LoRA, and ICL in Data-Scarce Scenarios
arxiv.orgยท2d
๐Ÿ“šAutomata Learning
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Show HN: rstructor, Pydantic+instructor for Rust
github.comยท5dยท
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๐Ÿ”ขAlgebraic Data Types
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Demo: Statistically Significant Results On Biases and Errors of LLMs Do Not Guarantee Generalizable Results
arxiv.orgยท1d
๐Ÿ›ก๏ธseL4
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Detached agent chains that work like people do
dev.toยท14hยท
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โฐTimed Automata
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Taming AI Hallucinations: Solving Physics with Reality Checks by Arvind Sundararajan
dev.toยท6hยท
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๐Ÿ”ฒCellular Automata
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Probing Knowledge Holes in Unlearned LLMs
arxiv.orgยท2d
๐Ÿ”CBMC
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Quantifying Articulatory Coordination as a Biomarker for Schizophrenia
arxiv.orgยท8h
๐Ÿ“Linear Algebra
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flowengineR: A Modular and Extensible Framework for Fair and Reproducible Workflow Design in R
arxiv.orgยท2d
๐Ÿ’ŽRefinement Types
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