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Enterprise Document Intelligence [Vol.1 #9bis] – Your RAG isn’t hallucinating, it’s answering the wrong context…
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A reproducible 100-step LoRA fine-tuning run for OpenVLA, with dataset checks, Colab setup, training metrics,…
Latest
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Exploring GPU acceleration with cuDF, cudf.pandas, and the Polars GPU Engine
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A hands-on guide to tracking experiments, logging models, and reproducing results with ML Flow.
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Apply long-running coding agents to become a more productive engineer
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Enterprise Document Intelligence [Vol.1 #10B] – The LLM as last line of defence, then two…
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How do you make decisions when you can’t trust anyone in the room?
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Having categorized data is everything in reporting. Uncategorized data cannot be grouped and aggregated. But…
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Let’s discover how neural networks learn, step by step
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Enterprise Document Intelligence [Vol.1 #6quinquies] – Prompt engineering, then context engineering, then loop engineering. On…
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An AI agent passed every metric in the eval harness I published, then the CFO…
Editor’s Picks
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On the value of building on existing foundations
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AI’s energy crisis is reviving an old idea: computing with physics instead of digital logic.…
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Why your regression coefficients keep changing, and what geometry has to do with it.
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The analytics career I signed up for five years ago doesn’t exist anymore, and honestly,…
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How to stop parsing JSON by hand and start trusting your model’s output
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My PhD models tried to explain why people engage. My industry models predict who will.…
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A framework for aligning agentic AI with enterprise intent to ensure consistent scenario‑wide autonomous behavior.
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The best AI models still hallucinate. These hallucinations are sometimes funny, and sometimes cause actual…
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They aren’t designed, you can’t help perceiving one anyway, and that makes them an engineering…
The Variable Newsletter
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Authors can now benefit from updated earning tiers and a higher article cap
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Sorting through the good, bad, and ambiguous aspects of vibe coding
Deep Dives
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A practical enterprise AI architecture with data agents, AI-powered QA, and AI governance.
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A practical guide to combining pre-churn scoring with uplift modelling for smarter retention.
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Everyone is talking about loop engineering, but most discussions assume an LLM sits at the…
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How to define recurring work, give AI the right context, explain what high-quality work looks…
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Cross-provider PR review with Codex in GitHub Actions, and why a second opinion from a…
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I measured the actual GPU electricity for eight local models on one RTX 3090 —…