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In this tutorial, we explore adaptive experimentation using Meta’s Ax with the modern Client API. We work through a complete workflow where we tune a RandomForest model on a synthe...
If design experiments scare you? Take a page from design leaders and call them bets.Continue reading on UX Collective В»
AI research agents can propose far more experiments than they can afford to run. Meta FAIR, Oxford and UCL introduce AI Research Preference Models — frozen LLM judges that rank 15...
Why the default 50/50 split is the wrong move when your treatment is more expensive than your control, and how cost-based sampling weights fix it The post Optimal Traffic Allocatio...
Airbnb threw out twenty years of optimization to grow. You might need that as well.Continue reading on UX Collective »
Model migrations and dramatic agent speedups are recurring headlines. A single “2.2x faster” number cannot tell you whether your production workflow improves. Build a paired workl...
I've been tuning Codenames AI, a small web game where an LLM plays Codenames with you. Clue generation is tightly constrained: one word, a count, optional intended targets, JSON on...
The days of pushing code to production and simply crossing your fingers are long gone. Today, the most successful engineering teams completely decouple their code deployments from...
Two Best Practices made things actively worse. One was a bug in my own instrumentation, and fixing it produced a better result than the…Continue reading on Data Science Collective...
Last week I changed a system prompt based on a feeling. It was the first prompt change after the evaluation harness from Part 8 went live, and I was completely sure about it. The...
An online simulation and a novel method for increasing power The post How to Get More Statistical Power from Fewer Research Participants appeared first on Towards Data Science.
There’s a standard problem in the social sciences in moving from the results of a smaller-scale study to larger-scale applicability. Consider a program in a certain school district...
In my journey to understand data more statistically, I set out to learn A/B properly and not rely on the existing libraries but actually…Continue reading on Medium »
TestMu AI provides the most efficient performance testing grid through its HyperExecute platform, an AI-native end-to-end test orchestration cloud.
Continue reading on Medium »
A/B Testing in Drupal Without the Enterprise Price Tag: A Practical Guide Using the A/B Test JS Module
Viktoria Semaan of Databricks on running 16 models through one eval set, why Gemma 12B matched Sonnet at a fraction of the cost, and when fine-tuning pays.
Checking an A/B test until it crosses p < 0.05 can turn a nominal 5 percent false-positive rate into almost 28 percent. I use a seeded simulation to show how large the damage ge...
Agent framework debates are mostly vibes. One engineer swears LangGraph is faster, another prefers the OpenAI Agents SDK, someone wants Google ADK because it feels future-proof. Th...
Using generative AI enables parallel execution of comprehensive user flow testing at scale. This solution demonstrates how to build a cloud-deployed UX testing platform that automa...
Playwright parallel testing explained with measured numbers: workers vs sharding, a 1 to 12 worker benchmark, why speedup stalls, and how to shard across CI.
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