collections

Working with lists, maps, and sets in Groovy.

From Idea to AI MVP: The Right Way to Build

Most tutorials hand you a model and a prompt and call it a product. A real planning meeting asks harder questions: can we ship a first cut by next month, will it actually help anyone, and what will it cost per user? An AI MVP is the smallest version of your idea that answers all three, and this playbook builds one you could finish in a weekend. “If you are not embarrassed by the first version of your product, you ... Read More

LLM-as-a-Judge: Online Evals, CI Gates, and Canary Sets

Your chatbot ships, users complain, and the dashboards show nothing wrong. Free-form text has no single right answer to diff against, which is why teams use an LLM as a judge to put a number on quality. The LLM evaluation tutorial scored builds offline, before anyone shipped; this post drags that judge into production with agreement audits, canary sets, and CI gates. The uncomfortable truth of shipping language models is that evaluation is the new system design. You do not ... Read More

Google Colab GPU Setup: Where to Run Deep Learning for Free

Your laptop does not have to suffer through deep learning. A free Google Colab GPU (Graphics Processing Unit) hands you a real Tesla T4 in a browser tab: no CUDA install, no gaming rig, no bill. This post walks through enabling it, proving it is on with one small check, the session rules that catch beginners, and a timed CPU vs GPU race you can run yourself. “The best way to get started is to stop talking and begin doing.” ... Read More