How to stop your AI agents from hallucinating: A guide to n8n’s Eval Node
blog.logrocket.com·6h
🎭Erlang OTP
Bitrig's Swift Interpreter: From Code to Bytecode
bitrig.app·1d·
Discuss: Hacker News
🦉Swift Interpreters
Show HN: Semlib – Semantic Data Processing
github.com·2d·
Discuss: Hacker News
🔍ML Language
Claude Can (Sometimes) Prove It
galois.com·20h·
Discuss: Lobsters, Hacker News
🧩Constraint Solvers
The Best Local Coding LLMs You Can Run Yourself
kdnuggets.com·7h
⚙️Compilers
Large Language Muddle
metafilter.com·19h
📋Backus-Naur Form
Trade-offs in designing DSLs (in Rust)
forgestream.idverse.com·7h·
Discuss: r/rust
🪆Embedded DSLs
The Unseen Variable: Why Your LLM Gives Different Answers (and How We Can Fix It)
hackernoon.com·1d
🗺️Region Inference
embeddinggemma with Qdrant compatible uint8 tensors output
huggingface.co·14h·
Discuss: r/LocalLLaMA
🚀Tokenizer Performance
15 Ways to Use AI at Home (and Fill Your AI Product Toolbox)
producttalk.org·6h
🎮Language Ergonomics
Reading Between the Lines: Satisfaction Analysis from Untagged Chatbot Conversations
blog.checkpoint.com·6h
🔍Tokenizers
LLM for text classification - is RAG on large amount of unlabeled data useful?
reddit.com·2h·
Discuss: r/LLM
🌱Minimal ML
LLM Rerankers for RAG: A Practical Guide
fin.ai·2d·
Discuss: Hacker News, Hacker News
🪜Recursive Descent
Annually-Funded Developers' Update: July/August 2025
clojuriststogether.org·17h
🔮Clojure
I tested AI tools on data analysis — here’s how they did (and what to look out for)
onlinejournalismblog.com·1d
🌱Minimal ML
OpenAI: Models are programmed to make stuff up instead of admitting ignorance
theregister.com·5h·
Discuss: Hacker News
✨Effect Inference
Kren v1: Turning an Encoder into a Khasi-Speaking AI
dev.to·6h·
Discuss: DEV
📊LR Parsing
The Next Evolution of Code Agents is Coming
dev.to·5h·
Discuss: DEV
✨Gleam
AI Needs Babysitters, and These Stocks Are Cashing In
fool.com·8h
🪜Recursive Descent
Large Language Models Imitate Logical Reasoning, but at what Cost?
arxiv.org·15h
📋Souffle Datalog