Run local LLMs with Ruby llama.cpp bindings
docuseal.com·1d·
Discuss: Lobsters, Hacker News
💻Local LLMs
Show HN: Sovant – Memory that works across OpenAI, Claude and Gemini
sovant.ai·1d·
Discuss: Hacker News
⚡Hardware Transactional Memory
CSS Has 42 Units
irrlicht3d.org·23h·
Discuss: Hacker News, r/programming, r/webdev
📟Terminal Physics
The Handle trait
smallcultfollowing.com·2d·
Discuss: Lobsters, Hacker News, r/programming, r/rust
🦀Rust Macros
valuetier.org (and some thoughts on LLMs)
ericphanson.com·3d·
Discuss: Lobsters, Hacker News
🌀Brotli Internals
State of the Art of AI Tools in Micro-Frontend Architectures • Luca Mezzalira • GOTO 2025
youtube.com·2d
🌀Brotli Internals
AI Tulips
mamund.substack.com·23h·
Discuss: Substack
🤖AI Curation
Conformalized Gaussian processes for online uncertainty quantification over graphs
arxiv.org·1d
🧮Kolmogorov Bounds
AI-Driven Predictive Maintenance Optimization via Federated Learning in Semiconductor Fabrication
dev.to·19h·
Discuss: DEV
⚙️Batch Processing
Cross-Modal Content Optimization for Steering Web Agent Preferences
arxiv.org·2d
📊Feed Optimization
Agentic AI: How LLMs Really Work Behind the Scenes
dev.to·1d·
Discuss: DEV
⚡Proof Automation
How to Build Semantic Search in ASP.NET Core using PostgreSQL
dev.to·2d·
Discuss: DEV
🔍Semantic Search
Evaluating Large Language Models for IUCN Red List Species Information
arxiv.org·3d
🧮Kolmogorov Complexity
Different from/than/to?
languagelog.ldc.upenn.edu·2d
💾Binary Linguistics
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·2d·
Discuss: DEV
📊Multi-vector RAG
Decrypt Modality Gap in Multimodal Contrastive Learning: From Convergent Representation to Pair Alignment
arxiv.org·2d
🧠Machine Learning
Unsupervised Active Learning via Natural Feature Progressive Framework
arxiv.org·2d
🧠Machine Learning
Interpretable Neuropsychiatric Diagnosis via Concept-Guided Graph Neural Networks
arxiv.org·2d
🕸️Graph Embeddings
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·1d·
Discuss: DEV
📊Multi-vector RAG
Dynamic Functional Connectivity Features for Brain State Classification: Insights from the Human Connectome Project
arxiv.org·1d
🧠Machine Learning