Natural Language Processing, Text Analysis, Language Models, Document Processing

Wordle Answer And Hints - November 7 2025 Solution #1,602 - TheGamer
news.google.com·23h
💬Prompt Engineering
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Show HN: Kumi – a portable, declarative, functional core for business logic
kumi-play-web.fly.dev·1d·
Discuss: Hacker News
🗣️LLMs
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Study identifies weaknesses in how AI systems are evaluated
oii.ox.ac.uk·3d
💬Prompt Engineering
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How to Merge Word Documents in Python: A Step-by-Step Automation Guide
dev.to·2d·
Discuss: DEV
⌨️Text Editors
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The Internet You Missed: A Last 2025 Snapshot
theintrinsicperspective.com·1d
📵Digital Minimalism
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Researchers propose a new model for legible, modular software
techxplore.com·17h
💬Prompt Engineering
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Is ChatGPT's Atlas Browser the Future of Internet?
blogger.com·1d
🌿Digital Gardens
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SHIELD: Securing Healthcare IoT with Efficient Machine Learning Techniques for Anomaly Detection
arxiv.org·1d
🧠Machine Learning
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Designing Data-Intensive Applications [Book Review]-The Big Ideas Behind Reliable, Scalable and Maintainable Systems
dev.to·1d·
Discuss: DEV
📊Data Science
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The Advent Of ‘Thinking Tokens’ Causes Unforeseen Inflationary Impact On Generative AI
forbes.com·2d
💬Prompt Engineering
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From searching to solving: how Vector Databases transform product discovery
dev.to·4d·
Discuss: DEV
💬Natural Language Processing
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PROPEX-RAG: Enhanced GraphRAG using Prompt-Driven Prompt Execution
arxiv.org·3d
💬Prompt Engineering
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ChatGPT terms disallow its use in providing legal and medical advice to others
dev.to·19h·
Discuss: DEV
💬Prompt Engineering
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Systematic Evaluation of Preprocessing Techniques for Accurate Image Registration in Digital Pathology
arxiv.org·5h
🧠Machine Learning
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Development Musical Chairs
dev.to·13h·
Discuss: DEV
💬Prompt Engineering
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Introducing the MindsEye Notification Project — Adaptive Email Automation for the Future of AI Systems
dev.to·18h·
Discuss: DEV
💬Prompt Engineering
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NaturalVoices: A Large-Scale, Spontaneous and Emotional Podcast Dataset for Voice Conversion
arxiv.org·3d
💬Natural Language Processing
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Auditing M-LLMs for Privacy Risks: A Synthetic Benchmark and Evaluation Framework
arxiv.org·1d
🗣️LLMs
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