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News
Don’t Just “Throw Adam at It”: Misunderstanding Adam Will Cost You
1+ mon, 2+ week ago (1737+ words) You "vibe-coded" the import. Understand Adam's optimization dynamics, why it fails spectacularly, and how to fix it. I spent weeks working on a particularly hard reinforcement learning problem. The research demonstrated similar agents learning comparable tasks. Yet our model was…...
Are Your ML Experiments a Mess? Here’s the Fix
1+ mon, 3+ week ago (843+ words) A hands-on guide to tracking experiments, logging models, and reproducing results with ML Flow. To ensure that the right models are in production, we need a way to manage various models and versions, track performance metrics, and reproduce results. This…...
RAG Was Always a Temporary Workaround. What is Next?
2+ mon, 3+ day ago (944+ words) Why the future of AI memory relies on persistent neural state, not vector databases. Look closely at your favourite RAG system. Very closely. We labelled this “memory.” A more honest name would be: a very elaborate, high-latency game of telephone…...
I Pitted XGBoost Against Logistic Regression on 358 Matches. The Boring Model Won.
2+ mon, 2+ week ago (1244+ words) A concrete bias–variance lesson: why the smallest model had the best cross-validated fit, and how to know when to reach for the big hammer. So when I lined up five classifiers on the same task and the one-line linear…...
Structured Outputs with LLMs: JSON Mode, Function Calling, and When to Use Each
2+ mon, 3+ week ago (664+ words) Getting reliable, readable responses out of your LLM, and knowing which tool to reach for In my latest posts, we’ve talked a lot about popular techniques for optimizing the performance and cost of AI applications, like response streaming or prompt…...