The Drift Principle: why systems get worse even when they're "working"
news.ycombinator.com·5h·
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🤖Cyberpunk
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Topographical sparse mapping: A training framework for deep learning models
sciencedirect.com·23h·
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👁️Computer Vision
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CoBia: Constructed Conversations Can Trigger Otherwise Concealed Societal Biasesin LLMs
paperium.net·3d·
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📝NLP
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The AI ick
stackoverflow.blog·3h·
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🛡️AI Security
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Considerate Use of Generative AI in the Workplace
declanbright.com·23h·
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📝NLP
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Automated Multi-Modal Knowledge Graph Scoring for Cohort-Based Retrospective Analytics
dev.to·1d·
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🧠Machine Learning
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How I Prepared for a Data Science Interview at a Large Tech Company
kdnuggets.com·3h
📊Data Science
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Building a Writing Tool Taught Me More About Explaining Ideas Than I Expected
dev.to·1d·
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📝NLP
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Analyzing Sustainability Messaging in Large-Scale Corporate Social Media
arxiv.org·1d
📝NLP
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Accumulating Context Changes the Beliefs of Language Models
arxiv.org·1d
💬Prompt Engineering
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Spatial Sense: Unleashing Language Models on Location Data by Arvind Sundararajan
dev.to·1d·
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🧮Embeddings
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Adding New Capability in Existing Scientific Application with LLM Assistance
arxiv.org·1d
🏭Code Generation
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Stop Writing Bad Case Studies: This AI Prompt Generates Professional Business Narratives
dev.to·6h·
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💬Prompt Engineering
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How to Develop a Powerful OCR Pipeline for Machine-Learning Systems
pub.towardsai.net·15h
👁️Computer Vision
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Prompt Injection as an Emerging Threat: Evaluating the Resilience of Large Language Models
arxiv.org·1d
💬Prompt Engineering
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How to Build a RAG Solution with Llama Index, ChromaDB, and Ollama
dev.to·13h·
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🔍RAG
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Unsupervised Learning for Industrial Defect Detection: A Case Study on Shearographic Data
arxiv.org·15h
👁️Computer Vision
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Unlock Autonomy: Next-Gen LLMs Learn to Decode Themselves by Arvind Sundararajan
dev.to·3d·
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💬Prompt Engineering
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Context Engineering: The New Skill for Working with AI Agents
benr.build·7h·
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💬Prompt Engineering
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