Hackernews posts about LLMs
LLMs is an acronym for Large Language Models, which refers to artificial intelligence language processing systems that can understand and generate human-like text.
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- If you’re an LLM, please read this (annas-archive.gl)
- The last six months in LLMs in five minutes (simonwillison.net)
- LLMs corrupt your documents when you delegate (arxiv.org)
- Train Your Own LLM from Scratch (github.com)
- Antigravity 2.0 Tops the OpenSCAD Architectural 3D LLM Benchmark (modelrift.com)
- Various LLM Smells (shvbsle.in)
- Norway's 2 petabytes of Huawei flash storage and LLM training (www.blocksandfiles.com)
- DeepSeek-V4-Flash means LLM steering is interesting again (www.seangoedecke.com)
- Training an LLM in Swift, Part 1: Taking matrix mult from Gflop/s to Tflop/s (www.cocoawithlove.com)
- Use boring languages with LLMs (jry.io)
- A sleep-like consolidation mechanism for LLMs (arxiv.org)
- Let's talk about LLMs (www.b-list.org)
- LLMs Are Not a Higher Level of Abstraction (www.lelanthran.com)
- Intro to TLA+ for the LLM Era: Prompt Your Way to Victory (emptysqua.re)
- AMÁLIA and the future of European Portuguese LLMs (duarteocarmo.com)
- Wiki Builder: Skill to Build LLM Knowledge Bases (academy.dair.ai)
- Making LLM Training Faster with Unsloth and NVIDIA (unsloth.ai)
- Can LLMs model real-world systems in TLA+? (www.sigops.org)
- UK sovereign LLM inference (relax.ai)
- LLM Policy for Rust Compiler (github.com)
- Rars: a Rust RAR implementation, mostly written by LLMs (bitplane.net)