2 posts tagged with "ai-engineering"

You write Java for a living. You have probably used a chatbot, and you may have wondered what happens inside it. This article answers that in terms you already know.

By the end, you will understand four ideas: tokens, the context window, sampling and embeddings. Everything else in this series builds on them. Each one gets a plain explanation, a Java comparison, and a warning about the mistake people make first.

You do not need any maths. You do not need Python. You will read one small Java program and look at three simple diagrams. If you have not read the map yet, start with Part 1, the roadmap. This article is the first step of Stage 1.

You already write Java for a living. You can build AI features without leaving it. Here is the plan.

This series is for working Java developers. You know Spring Boot and microservices. You know little or nothing about AI, and that is fine. We start from zero on the AI side and use what you already know on the Java side.

The promise is small and honest. You will get a clear path in four stages. You will build something at every stage. By the end you will have one project you can show to a hiring manager or to your own team.

The whole path takes about 28 weeks if you follow the pace we suggest. That is a suggestion, not a rule. You may go faster or slower, and both are fine.

This is Part 1 of the series. It is the map. Every later part links back here, so you can always see where you are.