Creating Lisp Systems
๐ญCode Generation
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A Systematic Literature Review of Code Hallucinations in LLMs: Characterization, Mitigation Methods, Challenges, and Future Directions for Reliable AI
arxiv.orgยท1d
๐Profile-Guided Optimization
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Crushing ML Latency: The (Un)Official Best Practices for Systems Optimisation
pub.towardsai.netยท5h
๐Performance
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Minimalistic CLAUDE.md for new projects: Follow SOLID, DRY, YAGNI, KISS
๐จIncremental Compilation
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Detailed Technical Documentation on AI Implementation Logic (Taking Large Language Models as an Example )
๐ฑEdge AI
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[Talk] Improving the Incremental System in the Rust Compiler
blog.goose.loveยท14h
๐จIncremental Compilation
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Writing an LLM from scratch, part 26 โ evaluating the fine-tuned model
๐ฌPrompt Engineering
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PAINT25 Invited Talk transcript: โNotational Freedom via Self-Raising Diagramsโ
programmingmadecomplicated.wordpress.comยท21h
๐คLanguage Design
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Gated DeltaNet (Linear Attention variant in Qwen3-Next and Kimi Linear)
๐ฌPrompt Engineering
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[Tool] RE-Architect: Automated binary analysis with multiple decompilers + AI explanations
๐Reverse Engineering
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Supercharging the ML and AI Development Experience at Netflix
netflixtechblog.comยท13h
๐ฌPrompt Engineering
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Moving past speculation: How deterministic CPUs deliver predictable AI performance
venturebeat.comยท3d
๐Computer Architecture
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