Intelligent Document Creation: Generate PDFs with AI in pdfAssistant.ai
pdfa.org·4h
📄Document Digitization
Putting the cart before the AI
blog.tohojo.dk·3d
⚡Proof Automation
Programming as Theory Building: Why Senior Developers Are More Valuable Than Ever
cekrem.github.io·8h·
Discuss: r/node, r/programming, r/reactjs, r/typescript
💻Programming languages
Getting an LLM to set its own temperature
amanvir.com·1d·
Discuss: Hacker News
🐛Fuzzing
The Cost of AI-Generated Code: Detection vs. Remediation
rsolv.dev·17h·
Discuss: Hacker News
📏Code Metrics
How Language Became Infrastructure—and Why That Should Worry Us
hackernoon.com·11h
📋Document Grammar
The Bitter Lesson is coming for Tokenization
lucalp.dev·2d·
Discuss: Lobsters, Hacker News, r/programming
🔗Monadic Parsing
Compbolt: A lib with a hard to misuse API (based on Matt Godbolt)
github.com·1d·
Discuss: Hacker News
🌀Brotli Internals
Entelligence vs CodeRabbit
dev.to·6h·
Discuss: DEV
🌳Incremental Parsing
new2
dev.to·15h·
Discuss: DEV
🧠Query Planners
Predicting Faulty Validations in Cluster Issue Detection: A ML Approach - DevConf.CZ 2025
youtube.com·10h
📏Code Metrics
Treasure Case Sharing of HarmonyOS 5 Development — Practical Tips for Application Architecture
dev.to·20h·
Discuss: DEV
🔌Interface Evolution
Machine Learning Fundamentals: active learning tutorial
dev.to·1d·
Discuss: DEV
🎛️Feed Filtering
Lessons from LangChain and Slack and MCP Integration
medium.com·1d·
Discuss: Hacker News
🔗Topological Sorting
Overtuning in Hyperparameter Optimization
arxiv.org·1d
🧠Machine Learning
Trends in Machine Learning: 2025 Industry Outlook and Technical Shifts
dev.to·1d·
Discuss: DEV
🎵Audio ML
How to Make Large-Scale Experiments Smarter and Cheaper with AI-Driven Proofs
dev.to·1d·
Discuss: DEV
✓Automated Theorem Proving
Behavioral Anomaly Detection in Distributed Systems via Federated Contrastive Learning
arxiv.org·1d
👁️Observatory Systems
LARP: Learner-Agnostic Robust Data Prefiltering
arxiv.org·14h
💻Local LLMs
SRFT: A Single-Stage Method with Supervised and Reinforcement Fine-Tuning for Reasoning
arxiv.org·1d
💻Local LLMs