Modernizing eDiscovery: A Huge Strategic Win for Legal Operations Executives
blog.x1discovery.com·10h
🔗Data Provenance
On This Day in Math - June 26
pballew.blogspot.com·56m·
Discuss: www.blogger.com
🗃️Punched Cards
The Great Data Awakening: Why Unstructured Data is Your Company's Hidden Goldmine
info.aiim.org·1d
🔗Data Provenance
Learn – Computer-Aided Instruction on Unix
wolfram.schneider.org·6h·
Discuss: Hacker News
📟Terminal Typography
Machine Learning Fundamentals: accuracy with python
dev.to·1d·
Discuss: DEV
👁️Observatory Systems
PRAISE: Enhancing Product Descriptions with LLM-Driven Structured Insights
arxiv.org·2d
🏷️Metadata Standards
Therapy as an NLP Task: Psychologists' Comparison of LLMs and Human Peers in CBT
arxiv.org·1h
🌲Parse Trees
Perspectives in Play: A Multi-Perspective Approach for More Inclusive NLP Systems
arxiv.org·1h
📚Digital Humanities
Causal discovery in deterministic discrete LTI-DAE systems
arxiv.org·1h
🧠Machine Learning
Text2Struct: A Machine Learning Pipeline for Mining Structured Data from Text
arxiv.org·2d
🔤Character Classification
Patterns for Compounding the Value of LLM interactions
spin.atomicobject.com·17h·
Discuss: Hacker News
🔗Constraint Handling
Open-Source AI Stacks for E-Commerce (2025 Guide)
dev.to·1d·
Discuss: DEV
🌀Brotli Internals
Agentic AI: Implementing Long-Term Memory
towardsdatascience.com·1d
💾Persistence Strategies
Persona-Assigned Large Language Models Exhibit Human-Like Motivated Reasoning
arxiv.org·1h
🎯Dependent Parsing
DigitalOcean Fundamentals: API
dev.to·21h·
Discuss: DEV
🔌Interface Evolution
Learning Plan Architect: Design Your Mastery Blueprint 🏗️🎯🤖🌠
dev.to·4h·
Discuss: DEV
📐Proof Assistants
Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems
arxiv.org·2d
📜Digital Philology
LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning
arxiv.org·2d
💻Local LLMs
Open-Source AI Stacks for E-Commerce (2025 Guide)
dev.to·1d·
Discuss: DEV
🌀Brotli Internals
Alleviating User-Sensitive bias with Fair Generative Sequential Recommendation Model
arxiv.org·1d
🎛️Feed Filtering