Beginner to NAS...Build Advice?
preview.redd.it·28m·
Discuss: r/homelab
🌳B+ Trees
Self-Extracting F3
buttondown.com·1d·
Discuss: Hacker News
📊Row Polymorphism
How we trained an ML model to detect DLL hijacking
securelist.com·1d
🏷️Memory Tagging
Building a Modern Minimalist LMS App with Flutter: A Complete Guide
buymeacoffee.com·9h·
Discuss: DEV
🎮Language Ergonomics
Generative AI finds antimicrobial peptides against multidrug-resistant bacteria
nature.com·2d·
Discuss: Hacker News
🗺️Region Inference
Top 20 AI Tools for Work: 10X Your Output
analyticsvidhya.com·1d
🔄Incremental Tokenizers
TikTok Mobile/Web Complete Reverse Engineering
github.com·23h·
Discuss: r/programming
🛡️Parser Security
Automated Structure-Based Drug Discovery via Hyperdimensional Protein-Ligand Interaction Scoring
dev.to·9h·
Discuss: DEV
✨Effect Inference
Implement automated monitoring for Amazon Bedrock batch inference
aws.amazon.com·1h
📡Erlang BEAM
Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning
reddit.com·20h·
Discuss: r/LocalLLaMA
🪜Recursive Descent
Building an Agentic AI for SQL Generation and Optimization in Snowflake
pub.towardsai.net·1d
🗃️Query Compilation
Farewell-to-Framework-Bloat-How-I-Rediscovered-Simplicity-Without-Sacrificing-Performance
dev.to·15h·
Discuss: DEV
📦Monorepos
Day 24 of My 90 Days Python Series – Word Counter Tool
dev.to·1d·
Discuss: DEV
💬Interactive REPLs
📱 React Native at Scale: Lessons from 100K+ Users
dev.to·2d·
Discuss: DEV
🏛️Elm Architecture
I built RAGSharp: a lightweight RAG library for .NET
dev.to·23h·
Discuss: DEV
💬Smalltalk VMs
Mixture of Experts Implementation using Granite4: Harnessing Specialization with the Latest Granite Family Model
dev.to·2d·
Discuss: DEV
🔍ML Language
Day 47 of My Data Analytics Journey !
dev.to·3h·
Discuss: DEV
📊DataFrame Types
How I Improved My Verbal English in Tech Meetings with NativeSpeech
dev.to·9h·
Discuss: DEV
🎮Language Ergonomics
SpeechCT-CLIP: Distilling Text-Image Knowledge to Speech for Voice-Native Multimodal CT Analysis
arxiv.org·1d
🏗️MLIR
From Theory to Practice: Evaluating Data Poisoning Attacks and Defenses in In-Context Learning on Social Media Health Discourse
arxiv.org·14h
🔍ML Language