WordPress Spam Users
etbe.coker.com.au·8h
📰RSS Reading Practices
Cambridge University launches project to rescue data trapped on old floppy disks
lib.cam.ac.uk·1d·
Discuss: Hacker News
💽Floppy disks
Datastar Response to Allegations
data-star.dev·1d·
Discuss: Hacker News
🏺ZIP Archaeology
Show HN: Using an LLM to sensibly sort a shopping receipt
treblig.org·3d·
Discuss: Hacker News
🔗Constraint Handling
LoRA Explained: Faster, More Efficient Fine-Tuning with Docker
docker.com·3d
💻Local LLMs
Monument Engine: Jx
monument.ai·1d·
Discuss: Lobsters
⚡SIMD Vectorization
Humanoid Artificial Consciousness Designed with Large Language Model Based on Psychoanalysis and Personality Theory
arxiv.org·8h
🔲Cellular Automata
🚀 Unlocking Productivity: AI Tools Every Angular Developer Should Know
dev.to·1d·
Discuss: DEV
🦀Rust Macros
Exponential Error Bounds for Information Bottleneck Source Coding Problems
arxiv.org·3d
📐Compression Bounds
Attention Sinks and Compression Valleys in LLMs are Two Sides of the Same Coin
arxiv.org·4d
🧠Neural Compression
Contrastive Weak-to-strong Generalization
arxiv.org·3d
⧗Information Bottleneck
From Keywords to Clusters: AI-Driven Analysis of YouTube Comments to Reveal Election Issue Salience in 2024
arxiv.org·3d
📊Feed Optimization
HiPRAG: Hierarchical Process Rewards for Efficient Agentic Retrieval Augmented Generation
arxiv.org·3d
⚡Proof Automation
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·2d·
Discuss: DEV
📊Multi-vector RAG
Online KubeDiagrams Service
reddit.com·1d·
Discuss: r/kubernetes
📦Container Security
Sparse components distinguish visual pathways & their alignment to neural networks
arxiv.org·8h
🧠Neural Codecs
Tech With Tim: My top 5 python programming course recommendations
dev.to·4h·
Discuss: DEV
⭐Awesome lists
I was tired of regression testing, so I weekend-vibe-coded something
dev.to·23h·
Discuss: DEV
❄️Nix Flakes
(FULLY OPEN SOURCE) open-computer-use: Computer agents working on their own VMs
github.com·1d·
Discuss: Hacker News
🏠Homelab Orchestration
Revisiting Long-context Modeling from Context Denoising Perspective
arxiv.org·5d
🔢Denotational Semantics