Memory efficiency, Buffer management, Performance, Systems programming

Python MarkItDown: Convert Documents Into LLM-Ready Markdown
realpython.com·10h
🕸️WASM
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Regression vs Functional Testing: Ensuring Quality from Both Ends
dev.to·5h·
Discuss: DEV
λFunctional Programming
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Learn to Capitalize the First Letter of Each Word with Go
dev.to·2d·
Discuss: DEV
λFunctional Programming
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Why Logic Isn't as Objective as You Think
dev.to·18h·
Discuss: DEV
🪶suckless
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Efficiency vs. Alignment: Investigating Safety and Fairness Risks in Parameter-Efficient Fine-Tuning of LLMs
arxiv.org·1d
🔍Parsers
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Will Developers Survive AI Takeover? Part 4: The Popstar Developer
dev.to·1h·
Discuss: DEV
🕸️WASM
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Why Nonparametric Models Deserve a Second Look
towardsdatascience.com·5h
λFunctional Programming
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Enhanced Richardson Extrapolation via Adaptive Kernel Regression and Uncertainty Quantification
dev.to·2d·
Discuss: DEV
📈Optimization
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Unsupervised Learning for Industrial Defect Detection: A Case Study on Shearographic Data
arxiv.org·19h
🔍Parsers
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Optimizing Native Sparse Attention with Latent Attention and Local Global Alternating Strategies
arxiv.org·1d
🔍Parsers
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LLM-Centric RAG with Multi-Granular Indexing and Confidence Constraints
arxiv.org·2d
🐫OCaml
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AI Wrapper Companies: Is This Real or Just API Theater?
dev.to·1d·
Discuss: DEV
🔍Parsers
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Quantum Machine Unlearning: Foundations, Mechanisms, and Taxonomy
arxiv.org·1d
λFunctional Programming
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My Thoughts on the 2025 Stack Overflow Survey: The Hype, the Reality, the Gap
dev.to·1d·
Discuss: DEV
🪶suckless
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🚀 Exploring Go’s Core Features in Depth
dev.to·3d·
Discuss: DEV
λFunctional Programming
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Part 5: Building Station Station - Should You Use Spec-Driven Development?
dev.to·1d·
Discuss: DEV
🏠Home Manager
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Building a Scalable API Event Logger using Pub/Sub, and BigQuery
dev.to·2d·
Discuss: DEV
🕸️WASM
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Optimized Grid-Interactive Energy Storage (GIES) via Heterogeneous Ensemble Learning
dev.to·1d·
Discuss: DEV
🔍Parsers
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CoCoVa: Chain of Continuous Vision-Language Thought for Latent Space Reasoning
arxiv.org·19h
🔍Parsers
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