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After building automation pipelines for years, these are the libraries I keep coming back to when I need Python to do real work. Continue reading on CodeToDeploy »
Why OpenAI Is Delaying Frontier AI Training to Improve Human Control, Safety, and Alignment Continue reading on Medium »
Most people say “chatbot” and “conversational AI” like they’re interchangeable. They’re not. Continue reading on Medium »
Rules, ML scoring, streams, graphs and hybrid controls solve different fraud problems. The wrong fit fails before model accuracy matters. Continue reading on Medium »
When I first came across Decision Trees, the concept seemed pretty simple — but understanding how a Machine Learning model actually… Continue reading on Medium В»
ChatGPT has become the public face of artificial intelligence. But mistaking the face for the whole field is distorting how we judge the… Continue reading on Medium В»
A practical way to tell whether an AI Agent delivered the outcome a user wanted, and what that outcome cost. Continue reading on Observability, Applied В»
This deep dive examines GPT-6 Astra’s benchmark results, the systems behind them, and whether the evidence supports OpenAI’s claim that… Continue reading on Data Science Collective »
How a February 2025 Gemini exploit, an October 2025 Bedrock breach, and a new OWASP risk category reveal the same architectural flaw — and… Continue reading on Medium »
I spent years writing Python code the hard way. Then I discovered these libraries and realized how much of my “engineering work” was just… Continue reading on CodeToDeploy »
I spent months running Gemma 4 locally and telling anyone who would listen that a 31 billion parameter open model was basically all I… Continue reading on Stackademic »
An engineering case study on fine-tuning low-resource dialect adapters using Qwen2, LoRA, and the Unsloth framework. Continue reading on Medium »
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