Getting the Most Out of a Technical Book
🏠Local-first
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World Quality Report 2025: AI adoption surges in Quality Engineering, but enterprise-level scaling remains elusive
prnewswire.com·1d
🤖LLM
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<![CDATA[ Agentic Plan Execution ]]>
dolthub.com·5d
🤖LLM
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Accelerating the Serviceability-Based Design of Reinforced Concrete Rail Bridges under Geometric Uncertainties induced by unforeseen events: A Surrogate Modelin...
arxiv.org·1d
🦀Rust
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Python Security Guide: Password Hashing, Encryption, Digital Signatures, and Secure Coding Practices
Beyond the Data Pipeline: Building Modular AI Agents with Model Context Protocol (MCP)
pub.towardsai.net·1d
🏠Local-first
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Classifying Histopathologic Glioblastoma Sub-regions with EfficientNet
arxiv.org·2d
🦀Rust
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SeQuant Framework for Symbolic and Numerical Tensor Algebra. I. Core Capabilities
arxiv.org·1d
🦀Rust
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Alignment Debt: The Hidden Work of Making AI Usable
arxiv.org·1d
🦀Rust
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Stop fine-tuning your model for every little thing. You're probably wasting your time.
🦀Rust
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Causal Model-Based Reinforcement Learning for Sample-Efficient IoT Channel Access
arxiv.org·1d
🤖LLM
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Format Matters: The Robustness of Multimodal LLMs in Reviewing Evidence from Tables and Charts
arxiv.org·1d
🤖LLM
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Dynamic Sparsity: Challenging Common Sparsity Assumptions for Learning World Models in Robotic Reinforcement Learning Benchmarks
arxiv.org·3d
🤖LLM
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Your Top 2026 Priority? Prepare Your Data for AI
thenewstack.io·1d
🦀Rust
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