Gabriele Bartolini: CNPG Recipe 22 - Leveraging the New Supply Chain and Image Catalogs
gabrielebartolini.it·1d
🗑️Stack Scanning GC
Detection Engineering: Practicing Detection-as-Code – Monitoring – Part 7
blog.nviso.eu·5h
🔍Execution Tracing
How OpenAI Uses Kubernetes And Apache Kafka for GenAI
blog.bytebytego.com·22h
📡Erlang BEAM
AI: The ultimate slacker's dream come true - theregister.com
news.google.com·1d
🏠indieweb
Property-based testing of batch-invariant operations
mmaaz.ca·1d·
Discuss: Hacker News
🎲Property Testing
How to write nonfunctional requirements for AI agents
infoworld.com·4h
🎮Language Ergonomics
Better alternative for CPU only realtime TTS library
reddit.com·20h·
Discuss: r/LocalLLaMA
⚡Tokenizer Optimization
Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning
reddit.com·15h·
Discuss: r/LocalLLaMA
🪜Recursive Descent
Show HN: The Little Book of Maths for LLMs-The maths you need to understand LLMs
little-book-of.github.io·3d·
Discuss: Hacker News, r/LLM
🔍ML Language
A Primer on Memory Consistency and Cache Coherence, Second Edition
link.springer.com·1d·
Discuss: r/programming
🧠Memory Models
I Made an AI Document Analyzer So You Don’t Have To (But You’ll Probably Want To)
github.com·3d·
Discuss: DEV
🔍Tokenizers
Paper2Video: Automatic Video Generation from Scientific Papers
arxiv.org·9h
🌳Parser Visualization
The future of your code is no-code
pleasedontdeploy.com·1d·
Discuss: Hacker News
🎮Language Ergonomics
Large Language Models Achieve Gold Medal Performance at International Astronomy & Astrophysics Olympiad
arxiv.org·9h
🌱Minimal ML
Why LLMs Hallucinate on Emojis (And 4 Tokens That Break Production AI)
dev.to·1d·
Discuss: DEV
🌊Gradual Effects
Closing the Loop: Coordinating Inventory and Recommendation via Deep Reinforcement Learning on Multiple Timescales
arxiv.org·9h
🔄Coroutines
Read the Scene, Not the Script: Outcome-Aware Safety for LLMs
arxiv.org·9h
🪜Recursive Descent
I created a free android language learning app for Spanish
reddit.com·20h·
Discuss: r/SpanishLearning
🌱Tiny Languages
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·3h·
Discuss: DEV
📊LR Parsing
Files-are-Not-Just-Data-A-Guide-to-Robust-File-Handling
dev.to·23h·
Discuss: DEV
🎮Language Ergonomics