Document Analysis, Pattern Discovery, Information Extraction, Natural Language Processing

How GitLab Duo Agent Platform transforms DataOps
about.gitlab.comΒ·1d
🚚Data Migration
Dawn of the Self-Building A.I
puck.newsΒ·1hΒ·
Discuss: Hacker News
πŸš€Indie Hacking
All the ways I use AI
fredrikmeyer.netΒ·13hΒ·
Discuss: Hacker News
πŸŒ€Brotli Internals
AI reveals gender bias in family courts
phys.orgΒ·8h
🌍Cultural Algorithms
Stop Chasing Low-Stakes Incidents: Let AI Do It
thenewstack.ioΒ·3h
🚨Incident Response
Wanna Switch from Backend Dev to AI/ML Engineer? A Research-Backed, Practical Guide
dev.toΒ·7hΒ·
Discuss: DEV
πŸ—ΊοΈCompetency Maps
Do Large Language Models Favor Recent Content? A Study on Recency Bias in LLM-Based Reranking
arxiv.orgΒ·1d
πŸ”Information Retrieval
Does Language Model Understand Language?
arxiv.orgΒ·17h
🌳Context free grammars
Airtable + GPT: Prototyping a Lightweight RAG System with No-Code Tools
kdnuggets.comΒ·8h
πŸ€–Archive Automation
Concurrent Linguistic Error Detection (CLED): a New Methodology for Error Detection in Large Language Models
arxiv.orgΒ·17h
πŸ”Z3 Parsing
Unlock 'Magic' Optimization: Smarter Search When Blindfolded by Arvind Sundararajan
dev.toΒ·2dΒ·
Discuss: DEV
πŸ”Search Indexing
How Space Debris Cleanup Could Become the Next Trillion-Dollar Industry
hackernoon.comΒ·1d
πŸ“ΌCassette Hacking
Content-First Robotics: Building Robots That 'Get' The World
dev.toΒ·14hΒ·
Discuss: DEV
πŸ€–AI Curation
Predicting Geological Formation Composition via Neutron Activation Analysis & Machine Learning Calibration
dev.toΒ·18hΒ·
Discuss: DEV
🏺Computational Archaeology
The Power of Data Science: Unlocking a World of Opportunities
dev.toΒ·2dΒ·
Discuss: DEV
πŸ§ͺData science
Types of AI Models: Your Ultimate Guide
dev.toΒ·8hΒ·
Discuss: DEV
🎡Audio ML
Hyper-Precision Compliance Risk Mapping via Graph Neural Network Fusion
dev.toΒ·2hΒ·
Discuss: DEV
πŸ•ΈοΈGraph Embeddings
How to Become a Machine Learning Engineer (Step-by-Step)
towardsdatascience.comΒ·2d
🧠Machine Learning
Surrogate Representation Inference for Noisy Text and Image Annotations
arxiv.orgΒ·17h
πŸ“ŠLearned Metrics