Compiler Infrastructure, Code Generation, Optimization, Intermediate Representation

Efficiency vs. Alignment: Investigating Safety and Fairness Risks in Parameter-Efficient Fine-Tuning of LLMs
arxiv.org·11h
🔄MLOps
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Prog8
github.com·59m·
Discuss: Hacker News
Systems Programming
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Detailed Technical Documentation on AI Implementation Logic (Taking Large Language Models as an Example )
nbtab.com·7h·
Discuss: DEV
💬NLP
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GSoC 2025: Introducing an ABI Lowering Library
blog.llvm.org·1d
🔧Embedded Rust
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Reforging the ReScript Build System
rescript-lang.org·31m·
Discuss: Hacker News
🕸️WebAssembly
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Transducer: Composition, Abstraction, Performance
funktionale-programmierung.de·6h·
Discuss: Hacker News
Systems Programming
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I switched from LM Studio/Ollama to llama.cpp, and I absolutely love it
xda-developers.com·1d
🔄MLOps
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Writing an LLM from scratch, part 26 – evaluating the fine-tuned model
gilesthomas.com·21h·
Discuss: Hacker News
🔄MLOps
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Attention Is All You Need for KV Cache in Diffusion LLMs
paperium.net·12h·
Discuss: DEV
Systems Programming
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CHIP8 – writing emulator, assembler, example game and VHDL hardware impl
blog.dominikrudnik.pl·19h·
Discuss: Hacker News
🔧Embedded Rust
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Why is AI Generated Rust slow when compared with Go/C#/Node/JavaScript
srid68.github.io·1h·
Discuss: Hacker News
🕸️WebAssembly
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Doo: A Simple, Fast Programming Language Built on Rust and LLVM
news.ycombinator.com·1d·
Discuss: Hacker News
🔧Embedded Rust
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Cons Should Not Cons Its Arguments, Part II: Cheney on the MTA
web.archive.org·1d·
Discuss: Hacker News
Zig
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The Learning Loop and LLMs
martinfowler.com·2h·
Discuss: Hacker News
🔄MLOps
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Autark: Rethinking build systems – Integrate, Don't Outsource
blog.annapurna.cc·54m·
Discuss: Hacker News
Zig
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Fast, Scalable LDA in C++ with Stochastic Variational Inference
github.com·1d·
Discuss: r/cpp
👁️Computer Vision
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The Art of Luminous Code: A Journey with Dynamic `import()` in Node.js
dev.to·17h·
Discuss: DEV
Zig
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Free Functions Don't Change Performance (Much)
16bpp.net·1d·
Discuss: Hacker News, r/cpp
Zig
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Pain Points of OCaml
quamserena.com·11h·
🕸️WebAssembly
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