Stop Blaming the Model: The Quiet Revolution of Data-Centric AI
How shifting attention from algorithms to data quality is reshaping AI performance — and, more quietly, business health.Continue reading on Medium »
How shifting attention from algorithms to data quality is reshaping AI performance — and, more quietly, business health.Continue reading on Medium »
Stop conditions for agents: step/time/tool budgets + no‑progress termination.Continue reading on Towards AI »
Everything you need to learnContinue reading on Towards AI »
RGB was designed for screens, not for human perception. If your fashion AI pipeline uses RGB to compare, cluster or search by color, it’s…Continue reading on Medium »
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The new Notebooks in Workspaces isn’t an upgrade. It’s a rethinking of how data teams should build, train, and ship ML inside the…Continue reading on Medium »
A practitioner’s guide to cracking senior GenAI/LLM engineering roles — from RAG pipelines to multi-agent orchestrationI’ve been in AI/ML for eight years. In the last two, almost every interview I’ve sat in — whether for senior data science, ML enginee…
Originally published on LinkedInWhat happened when we deployed a real VQC on EEG brain data and what four experiments actually told us about where quantum ML stands today.Quantum machine learning is one of those fields where the gap between theory and …
In March 2026, a packaging error exposed 512,000 lines of Anthropic’s source code. What it revealed wasn’t the model. It was the…Continue reading on Medium »
The global Data Science and Machine Learning Platforms market is set to witness remarkable growth through 2028, driven by the rising…Continue reading on Medium »