📝 NLP

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

Open Data Editor in Action: Building Culturally-Accurate, and Global South Sensitive AI Datasets
blog.okfn.org·46m
🌿Digital Gardens
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OneNote's Genesis (2004)
web.archive.org·13h·
Discuss: Hacker News
⌨️Text Editors
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A Decade of AI Platform at Pinterest
medium.com·1d·
Discuss: Hacker News
🧠Machine Learning
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Meet Denario — An AI Assistant for Every Step of the Scientific Process
simonsfoundation.org·1d
💬Prompt Engineering
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How I Automated My Most Tedious Task and Unlocked Our Growth Strategy
devops.com·1d
💬Prompt Engineering
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7 MCP Projects That You Must Do Before 2025 Ends!
analyticsvidhya.com·2d
💬Prompt Engineering
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What is Web3?
dev.to·8h·
Discuss: DEV
💬Natural Language Processing
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How Perplexity Built an AI Google
blog.bytebytego.com·2d
💬Prompt Engineering
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Artificial vs. Synthetic Intelligence In Web Development
techbusinessnews.com.au·40m·
Discuss: DEV
💬Prompt Engineering
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Prompts that work for beginners (small, clear, and testable)
dev.to·9h·
Discuss: DEV
💬Prompt Engineering
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NeuraSnip A Local Semantic Image Search Engine
github.com·3d·
Discuss: r/opensource
💬Prompt Engineering
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Unleash AI Potential: Mastering Automated Data Labeling for Unprecedented Model Accuracy
dev.to·1d·
Discuss: DEV
🧠Machine Learning
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How Self-Attention Actually Works (Simple Explanation)
dev.to·7h·
Discuss: DEV
🗣️LLMs
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Build Your Own AI Sales Prospecting Tool in 3 Simple Steps
dev.to·7h·
Discuss: DEV
📊Data Science
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Why Learning R is Crucial for Mastering Data Science
dev.to·6h·
Discuss: DEV
📊Data Science
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Unlocking the Brain of AI: How Neural Networks Are Changing Everything
dev.to·3h·
Discuss: DEV
💬Prompt Engineering
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iFlyBot-VLA Technical Report
arxiv.org·13h
🤖AI
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AI and Emotional Forecasting: Predicting Consumer Sentiment for Smarter Marketing
dev.to·2d·
Discuss: DEV
💬Natural Language Processing
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🧠 How We Built an AI Code Reviewer That Understands Intent — Not Just Syntax
dev.to·6h·
Discuss: DEV
💬Prompt Engineering
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Towards Selection of Large Multimodal Models as Engines for Burned-in Protected Health Information Detection in Medical Images
arxiv.org·13h
🧠Machine Learning
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