🏰 Medieval Parsing

Historical Text Processing, Manuscript Grammars, Period Document Analysis, Ancient Formats

An enough week
blog.mitrichev.ch·2d·
Discuss: blog.mitrichev.ch
📈Linear programming
A Lisp Interpreter for Linux Shell Scripting
jakobmaier.at·2d·
Discuss: Hacker News
🔗Lisp
AI Guardrails, Gateways, Governance Nightmares
go.mcptotal.io·1d·
Discuss: Hacker News
🎯Threat Hunting
Neuro-Symbolic AI
en.wikipedia.org·1d·
Discuss: Hacker News
🔲Cellular Automata
[R] DeepSeek 3.2's sparse attention mechanism
reddit.com·1d·
Discuss: r/MachineLearning
🌀Brotli Internals
Intent Weaving for AI Coding Agents
autohand.ai·1d·
Discuss: Hacker News
⚡Proof Automation
The Feature Understandability Scale for Human-Centred Explainable AI: Assessing Tabular Feature Importance
arxiv.org·2d
🧠Intelligence Compression
Mitigating Judgment Preference Bias in Large Language Models through Group-Based Polling
arxiv.org·1d
💻Local LLMs
GNN Predictions: Hidden Bugs and the Verification Nightmare by Arvind Sundararajan
dev.to·22h·
Discuss: DEV
⚙️Proof Engineering
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·20h·
Discuss: DEV
📊Multi-vector RAG
Flavonoid Fusion: Creating a Knowledge Graph to Unveil the Interplay Between Food and Health
arxiv.org·2d
🗂️Information Architecture
Using Pydantic for ETL - Clean, Validate, and Transform Data with Confidence
dev.to·1d·
Discuss: DEV
✅Format Validation
RecGen: a powerful tool to create recommendation systems
dev.to·1d·
Discuss: DEV
🔗Constraint Handling
Adaptive Predictive Maintenance of PLC-Controlled Conveyor Systems via Multi-Modal Data Fusion and Anomaly Scoring
dev.to·2d·
Discuss: DEV
🌊Stream Processing
Refactoring: A way to write better Code
dev.to·18h·
Discuss: DEV
⚙️Operational Semantics
Tech With Tim: Python Web Scraping: A Million Dollar Project Idea - FULL Build/Tutorial
dev.to·19h·
Discuss: DEV
🔍BitFunnel
Graph-based LLM over Semi-Structured Population Data for Dynamic Policy Response
arxiv.org·3d
💻Local LLMs
Surgeons Are Indian Males and Speech Therapists Are White Females: Auditing Biases in Vision-Language Models for Healthcare Professionals
arxiv.org·2d
🏛Digital humanities
CaRT: Teaching LLM Agents to Know When They Know Enough
arxiv.org·1d
🔲Cellular Automata
To Sink or Not to Sink: Visual Information Pathways in Large Vision-Language Models
arxiv.org·1d
📊Learned Metrics