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News


medium.com > @velpragathi673 > support-vector-machines-how-ai-finds-the-widest-gap-between-classes-ddad0e881e04

Support Vector Machines — How AI Finds the Widest Gap Between Classes

5+ hour, 15+ min ago   (648+ words) Series 3, Part 5: ML Algorithms, Simply Explained Imagine you’re a security officer at an airport. Your job is to separate …...


medium.com > @morgan.e.ellis > the-people-building-the-most-powerful-ai-think-you-will-never-see-it-97c273acfcf5

The People Building the Most Powerful AI Think You Will Never See It

6+ hour, 12+ min ago   (229+ words) A study interviewed 25 researchers from OpenAI, Anthropic, Google DeepMind, and academia. What they said privately is different … The People Building the Most Powerful AI Think You Will Never See It A study interviewed 25 researchers from OpenAI, Anthropic, Google DeepMind, and…...


medium.com > @darren_83346 > phase-2-of-ai-when-intelligence-starts-scaling-itself-85afae689787

Phase 2 of AI: When Intelligence Starts Scaling Itself

8+ hour, 28+ min ago   (1541+ words) The first phase of AI was about building intelligence. The second is about what happens when intelligence becomes part of the mechanism that scales intelligence. For the last few years, the AI story has been remarkably simple. Build more data…...


medium.com > @certboosters_42895 > aws-announces-new-exams-for-ml-engineer-solutions-architect-pro-and-developer-associate-cb0d7a9fd4cb

AWS Announces New Exams for ML Engineer, Solutions Architect Pro, and Developer Associate

8+ hour, 29+ min ago   (465+ words) Three AWS certifications are changing at the same time. Not minor content refreshes. Actual new exam versions …...


medium.com > @armanchandrajwar > generative-ai-demystified-from-foundation-models-to-real-world-business-impact-dffe66dbf06a

Generative AI Demystified: From Foundation Models to Real-World Business Impact

9+ hour, 43+ min ago   (1226+ words) Generative AI can write, design, code, analyze, and create. But understanding what happens behind the screen is more …...


medium.com > @kholashams101 > where-llms-break-on-data-dates-joins-and-the-illusion-of-understanding-04583036fd23

Where LLMs Break on Data: Dates, Joins, and the Illusion of Understanding

9+ hour, 58+ min ago   (1436+ words) Almost everyone who builds on top of a language model hits the same wall eventually. You ask it something that looks trivial …...


medium.com > @vishnu_73501 > real-time-ai-monitoring-catching-model-drift-before-it-costs-you-4060d0699e15

Real-Time AI Monitoring: Catching Model Drift Before It Costs You

10+ hour, 4+ min ago   (499+ words) Then there’s the drift your own team introduces. Someone tweaks a system prompt to fix one edge case and shifts the distribution of every other output. A retrieval index gets rebuilt with a different chunking strategy. A fallback route that…...


medium.com > @princesstagoe24 > time-series-demystified-part-7-26cc4a64278e

Time Series Demystified Part 7

14+ hour, 59+ min ago   (1264+ words) Beyond ARIMA; How STL Decomposition Handles What Classic Models Miss When I started my flu forecasting project, I did what most analysts do first. I tried ARIMA. It’s …...


medium.com > @dalveer_singh > reinforcement-learning-part-14-imitation-learning-when-theres-no-reward-signal-at-all-5c67fe204a0e

Reinforcement Learning, Part 14: Imitation Learning — When There’s No Reward Signal at All

17+ hour ago   (595+ words) Every part of this series so far assumed some reward signal exists — handed directly by the environment in Parts 1 through 5 and 8 through…Continue reading on Medium » Reinforcement Learning, Part 14: Imitation Learning — When There’s No Reward Signal at All Every part…...


medium.com > @mudassir00seven > embedding-model-comparison-2026-you-are-optimizing-the-wrong-line-item-149523803cd4

Embedding Model Comparison 2026: You Are Optimizing the Wrong Line Item

16+ hour, 59+ min ago   (1003+ words) OpenAI, Cohere and local models for production RAG, and why the switching cost decides more than the price per token. I want to make an argument that will sound wrong at first and I think holds up. For most production…...