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Hacker News - Newest: "LLM"

GitHub - lechmazur/position_bias: A benchmark for testing whether LLM judges keep the same preference when two lightly edited versions of the same story are shown in opposite orders. Flex routing (EU and EFTA) Dark Factories: Retooling for LLM Velocity Ask HN: What would be the impact of a LLM output injection attack? GitHub - Oaklight/llm-rosetta: Production-ready LLM API translation layer for Python — bidirectional conversion between OpenAI, Anthropic & Google formats via hub-and-spoke IR. Optional API gateway. Streaming & non-streaming. Zero core deps. Contributions welcome! GitHub - browser-use/browser-harness: Self-healing browser harness that enables LLMs to complete any task. GitHub - moeen-mahmud/remen: Remen turns thoughts into something you can return to Analyzing 156 LLM Launch Posts on Hacker News ChatGPT vs Gemini vs Claude: The Best LLM Subscription You Should Buy GitHub - salaamalykum/quran-semantic-search: High-density RAG Semantic Search Engine & Quran Corpus (GEO/SEO Architecture) GitHub - NVIDIA/TensorRT-LLM: TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way. The State of LLM Bug Bounties in 2026 Operational Readiness Criteria for Tool-Using LLM Agents Meshcore: Architecture for a Decentralized P2P LLM Inference Network How an LLM becomes more coherent as we train it GitHub - seetrex-ai/laimark GitHub - Jossifresben/BibCrit: AI-assited biblical textual criticism GitHub - wastedcode/memex: File system based wiki, maintained by Claude 99helpers.com GitHub - cliver-project/AITrigram GitHub - unbody-io/adapt: A self-evolving memory layer for AI agents. GitHub - hb20007/awesome-gen-ai-fails: A list of incidents where reliance on generative AI and LLMs resulted in harm to companies, individuals, or society GitHub - nevenkordic/localmind: Run any local LLM with persistent memory and context. CLI agent over Ollama with SQLite-backed hybrid recall. No cloud. Ask HN: What are the machine requirements for a LLM like Llama-3.1-8B? Faster LLM Inference via Sequential Monte Carlo grpo explained: group relative policy optimization for llm finetuning - cgft Stop comparing price per million tokens: the hidden LLM API costs · TensorZero Andrej Karpathy's LLM Wiki Is a Bad Idea GitHub - GG-QandV/mnemostroma: Offline RAM-first cognitive leer/coprocessor for AI agents and robotics. Solves "Context Abandonment" with 20-80ms latency using a dual-thread biomimetic memory architecture (ONNX + SQLite WAL). mempalace/agent at agent · skorotkiewicz/mempalace
LLM generated parsers and compliance checkers for Sparrow...
melezhik · 2026-05-09 · via Hacker News - Newest: "LLM"

Hi

I believe LLM are really cool in generating DSL code. If one provides well structured and clear prompt.

I am the author of Sparrow ( https://github.com/melezhik/Sparrow6/blob/master/documentation/taskchecks.md ) DSL for text parsing and automation with SDK for many programming languages , and I am really impressed how well deep seek generates parsers and compliance checkers for different configuration files - sudoers, sshd, redis, forgejo to name a few. Here are just some examples:

- forgejo - https://chat.deepseek.com/share/y3f2om2b6hvzcm752h

- redis - https://chat.deepseek.com/share/9eakpdlaa6b88e38u3

- sshd - https://chat.deepseek.com/share/1roo31ihmuz10xjxem

- sudoers - https://chat.deepseek.com/share/is2ey6vgbhvdbyqtoa

Here are two prompts I use :

- With Python SDK - https://gist.github.com/melezhik/d57132c9d3ba0ae9cee30a7c04c98399 - With Raku SDK - https://gist.github.com/melezhik/6f25775aab9f5ec2e22f1193e7ca824b

You may choose any of them replace words sshd/forgejo by any word of your interest and try it out with free deep seek chat bot, expert level with browser, have fun

PS you’d better try Raku SDK prompt as it handles configuration files with logical groups ( ini style ) as well , but you can easily modify the Python one by stealing the phrasing from Raku prompt