in and out, quick appview adventure | futur | WhiteWind blog
whtwnd.com·9h
💧Litestream
Join me if you can: ClickHouse vs. Databricks & Snowflake - Part 2
clickhouse.com·18h·
Discuss: Hacker News
⚙️Database Internals
the very best, pt. xviii
vaudevillegho.st·9h
📊Statistical Ranking
Show HN: TableSprint- Supabase alternative with vibe coding features
tablesprint.com·15h·
Discuss: Hacker News
😊Emojis
DRIFT: Data Reduction via Informative Feature Transformation- Generalization Begins Before Deep Learning starts
arxiv.org·14h
📊Vector Databases
Introducing Northguard and Xinfra: Scalable log storage at Lin...
linkedin.com·18h
📂LiteFS
Patterns for Compounding the Value of LLM interactions
spin.atomicobject.com·6h·
Discuss: Hacker News
🪄Prompt Engineering
Speaker ID, Database Timeouts & Content Hashing
askthegame.bearblog.dev·18h
💾Prompt Caching
GLIMPSE: Gradient-Layer Importance Mapping for Prompted Visual Saliency Explanation for Generative LVLMs
arxiv.org·14h
🧠LLM Inference
Mirage of Mastery: Memorization Tricks LLMs into Artificially Inflated Self-Knowledge
arxiv.org·14h
🏆LLM Benchmarking
AI won't live on publisher sites
werd.io·15h·
Discuss: Hacker News
📊Feed Optimization
Fast and Distributed Equivariant Graph Neural Networks by Virtual Node Learning
arxiv.org·14h
📊Vector Databases
What's Predictive in an AI Persona?
askrally.com·22h·
Discuss: Hacker News
👤Search Personalization
Gradient Descent on Token Input Embeddings: A ModernBERT experiment
lesswrong.com·16h
📊Embeddings
What LLMs Know About Their Users
schneier.com·7h·
Discuss: Hacker News
🪄Prompt Engineering
NeuralTranslate: Nahuatl to Spanish LLM! (Gemma 3 27b fine-tune)
reddit.com·14h·
Discuss: r/LocalLLaMA
🐑Ollama
Learning to assess subjective impressions from speech
arxiv.org·14h
📊Embeddings
PATCH! {P}sychometrics-{A}ssis{T}ed Ben{CH}marking of Large Language Models against Human Populations: A Case Study of Proficiency in 8th Grade Mathematics
arxiv.org·14h
🏆LLM Benchmarking
The more LLMs think, the worse they translate
nuenki.app·6h·
Discuss: Hacker News
🏆LLM Benchmarking
RecLLM-R1: A Two-Stage Training Paradigm with Reinforcement Learning and Chain-of-Thought v1
arxiv.org·14h
🧠LLM Inference