All the links
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AI incident database ( website ) ⭐⭐⭐⭐
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Detecting Missile Launches with Ionospheric Disturbances ( blogpost , podcastepisode ) ⭐⭐⭐⭐
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Large Language Models like ChatGPT say The Darnedest Things ( blogpost ) ⭐⭐⭐⭐
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AIngry ( blogpost ) ⭐⭐⭐⭐
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The ML test score: A rubric for ML production readiness and technical debt reduction ( paper ) ⭐⭐⭐⭐⭐
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Inside a radical new project to democratize AI ( article ) ⭐⭐⭐⭐
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Artists are deliberately generating AI art based on the IP of corporations that are most sensitive to protecting it ( website ) ⭐⭐⭐⭐⭐
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How to Solve the Model Serving Component of the MLOps Stack ( blogpost ) ⭐⭐⭐
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MLOps isn’t DevOps for ML! ( blogpost ) ⭐⭐⭐
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Effective Altruism Is Pushing a Dangerous Brand of ‘AI Safety’ ( blogpost ) ⭐⭐⭐⭐⭐
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Efficient Methods for Natural Language Processing ( paper , podcastepisode ) ⭐⭐⭐⭐
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A fable about MLOps... and broken dreams ( blogpost ) ⭐⭐⭐⭐⭐
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Awesome Online Machine Learning ( website ) ⭐⭐⭐⭐
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River ( website , tool ) ⭐⭐⭐
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White Collar Crime Risk Zones ( website ) ⭐⭐⭐
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When models are everywhere ( blogpost ) ⭐⭐⭐
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Whisper ( website ) ⭐⭐⭐
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Detecting Ransomware ( podcastepisode ) ⭐⭐⭐
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Detecting Money Laundering with Clarence Chio ( podcastepisode ) ⭐
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Product Enrichment and Recommender Systems // Marc Lindner and Amr Mashlah // Coffee Sessions #114 ( podcastepisode ) ⭐⭐⭐⭐
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Feathr: LinkedIn's High-performance Feature Store // David Stein // Coffee Sessions #120 ( podcastepisode ) ⭐⭐⭐
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What is Data / ML Like on League? // Ian Schweer // MLOps Coffee Sessions #132 ( podcastepisode ) ⭐⭐⭐⭐
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The Great MLOps Debate: End-to-End ML Platforms vs Specialized Tools ( podcastepisode ) ⭐⭐⭐⭐
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Digital Defense Playbook; Community Power Tools for Reclaiming Data ( book ) ⭐⭐⭐⭐
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Nanny ML ( website ) ⭐⭐⭐
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Machine Learning Operations (MLOps): Overview, Definition, and Architecture ( paper ) ⭐⭐⭐
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AI ( blogpost ) ⭐⭐⭐⭐
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Adversarial Policies: Attacking Deep Reinforcement Learning ( paper ) ⭐⭐⭐
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Adversarial Policies Beat Professional-Level Go AIs ( paper ) ⭐⭐⭐
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How DALL-E works, plain English, no math, Part 1 ( blogpost ) ⭐⭐⭐⭐⭐
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oh shit git ( website ) ⭐⭐⭐
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Flight rules for Git ( website ) ⭐⭐⭐
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Requirements and Reference Architecture for MLOps:Insights from Industry ( paper )
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#𝗠𝗟𝗢𝗽𝘀 𝟭𝟬𝟭: 𝗛𝗼𝘄 𝘁𝗼 >𝘀𝗶𝗺𝗽𝗹𝘆< 𝗱𝗲𝗽𝗹𝗼𝘆 𝘆𝗼𝘂𝗿 𝗺𝗼𝗱𝗲𝗹 𝗳𝗼𝗿 𝗯𝗮𝘁𝗰𝗵 𝗶𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲?💡 ( blogpost ) ⭐⭐⭐⭐
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Feature Engineering and Selection: A Practical Approach for Predictive Models ( book ) ⭐⭐⭐⭐⭐
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Feature engineering and selection a short guide ( website ) ⭐⭐⭐
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Machine Learning Engineering for Production (MLOps) Specialization ( course series ) ⭐⭐⭐⭐
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Engineering Production NLP Systems at T-Mobile with Heather Nolis ( podcastepisode ) ⭐⭐⭐⭐
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Data Science at the Commandline ( website , book ) ⭐⭐⭐⭐
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Machine Learning Design Patterns ( book ) ⭐⭐⭐
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A 16–20 Week Roadmap To Review Machine Learning And Learn MLOps ( blogpost ) ⭐
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MLOps: Continuous delivery and automation pipelines in machine learning ( paper , website ) ⭐⭐⭐⭐
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Machine Learning: The High Interest Credit Card of Technical Debt ( paper ) ⭐⭐⭐⭐
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Build open source mlops stack ( website )
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MLOps (Machine Learning Operations) Fundamentals ( course series ) ⭐⭐⭐
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The Evolution of the NLP Landscape with Oren Etzioni ( podcastepisode ) ⭐⭐⭐⭐
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Designed by criminals, for criminals ( podcastepisode ) ⭐⭐⭐⭐
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Effective testing for machine learning systems ( blogpost ) ⭐⭐⭐⭐⭐
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Reliance on Metrics is a Fundamental Challenge for AI ( paper ) ⭐⭐⭐
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Building machine learning products: a problem well-defined is a problem half-solved. ( blogpost ) ⭐⭐⭐