So, I decided to write a BUFR decoder
stormscale.io·2d·
Discuss: Hacker News
📋DFDL
Functional Programming in 40 Minutes • Russ Olsen • GOTO 2024
youtube.com·22h
🧬Functional Programming
The inevitable trend toward low code makes programming tedious
thefoggiest.dev·10h·
Discuss: Hacker News
📏Code Metrics
We asked 9 AI and agent builders about their top problems
unionailoop.substack.com·15h·
Discuss: Substack
👁️Observatory Systems
EdgeCodec: Onboard Lightweight High Fidelity Neural Compressor with Residual Vector Quantization
arxiv.org·1d
📊Quantization
Centralized Copy-Paste: Enhanced Data Augmentation Strategy for Wildland Fire Semantic Segmentation
arxiv.org·6h
⛏️File Carving
SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation
arxiv.org·2d
🔗Monadic Parsing
🧠 Unlocking Real-World AI with MCP: The USB-C of LLMs⚡
dev.to·16h·
Discuss: DEV
🖥️Modern Terminals
Expediting data extraction using a large language model (LLM) and scoping review protocol: a methodological study within a complex scoping review
arxiv.org·6h
🔄Archival Workflows
Machine Learning Fundamentals: confusion matrix example
dev.to·1d·
Discuss: DEV
📥Feed Aggregation
Jeff Su: The CORRECT way to use ChatGPT (in 2025)
dev.to·19h·
Discuss: DEV
📊Feed Optimization
DREAM: Document Reconstruction via End-to-end Autoregressive Model
arxiv.org·1d
🤖Manuscript AI
Skipper: Maximal Matching with a Single Pass over Edges
arxiv.org·2d
🔗Graph Isomorphism
Intra-DP: A High Performance Collaborative Inference System for Mobile Edge Computing
arxiv.org·1d
📊Quantization
Text to model via SysML: Automated generation of dynamical system computational models from unstructured natural language text via enhanced System Modeling Lang...
arxiv.org·6h
📋Document Grammar
DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning
arxiv.org·6h
⚡Incremental Computation
PaddleOCR 3.0 Technical Report
arxiv.org·1d
🤖Advanced OCR
Evolution without Large Models: Training Language Model with Task Principles
arxiv.org·1d
🌳Context free grammars
Token Level Hallucination Detection via Variance in Language Models
arxiv.org·2d
💻Local LLMs
PBE Meets LLM: When Few Examples Aren't Few-Shot Enough
arxiv.org·1d
🗣️Domain-Specific Languages