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

To unearth their past, Amazonian people turn to ‘a language white men understand’
science.org·2h
💬Natural Language Processing
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AI’d be worried if I was you
politico.eu·10h
💬Prompt Engineering
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Open Source Context-Aware PII Classifier
corp.roblox.com·2d·
Discuss: Hacker News
💬Prompt Engineering
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I'm the CMO of fintech Chime. AI has helped us make ads 60% faster and rely less on agencies.
businessinsider.com·6h
💬Prompt Engineering
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As bubble debate rages, a new study finds why companies are getting stuck by the AI productivity paradox
marketwatch.com·1d
💬Prompt Engineering
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A (kind of) farewell to the web
webdirections.org·18h
📡RSS
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We built a collaboration platform on Claude Code. Here's what we learned.
gbase.ai·1d·
Discuss: r/ClaudeAI
🐚Shell Scripting
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Dynamic Neuro-Network Resilience via Stochastic Gradient Amplification and Adaptive Sparsity (DNSAS)
dev.to·12h·
Discuss: DEV
🎯Reinforcement Learning
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Migrating a Laravel Application From a Relational Database (PostgreSQL) to MongoDB
dev.to·6h·
Discuss: DEV
📡RSS
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Unlocking Simplicity: Skeletonizing Boolean Networks for Enhanced Performance by Arvind Sundararajan
dev.to·20h·
Discuss: DEV
🧠Machine Learning
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🧑‍🚀 Mission Accomplished: How an Engineer-Astronaut Prepared Meta’s CRAG Benchmark for Launch in Docker
dev.to·10h·
Discuss: DEV
💬Prompt Engineering
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Show HN: I Vibe-Coded a TUI for AWS Logs Insights in Rust
github.com·39m·
Discuss: Hacker News
🤖AI
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LLM-Centric RAG with Multi-Granular Indexing and Confidence Constraints
arxiv.org·3d
🗣️LLMs
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Merging Continual Pretraining Models for Domain-Specialized LLMs: A Case Study in Finance
arxiv.org·1d
🗣️LLMs
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SurgAnt-ViVQA: Learning to Anticipate Surgical Events through GRU-Driven Temporal Cross-Attention
arxiv.org·16h
💬Prompt Engineering
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Deploying Rapid Damage Assessments from sUAS Imagery for Disaster Response
arxiv.org·16h
📊Data Science
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The Riddle of Reflection: Evaluating Reasoning and Self-Awareness in Multilingual LLMs using Indian Riddles
arxiv.org·2d
🗣️LLMs
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Large Language Models Do NOT Really Know What They Don't Know
dev.to·1h·
Discuss: DEV
🗣️LLMs
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KGBridge: Knowledge-Guided Prompt Learning for Non-overlapping Cross-Domain Recommendation
arxiv.org·1d
💬Prompt Engineering
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