24 articles in this category
LLM temperature controls how random a model's answers are. Learn how temperature, top-p, and max tokens work, see them run in Node.js, and handle the providers that no longer accept them.
LLM tokens are the unit behind your AI bill, your limits, and your context window. Learn what a token is, how to count tokens in Node.js, and 5 backend habits that keep token spend under control.
LLM hallucination is a model stating false things with full confidence. Learn why it happens and the 5 backend patterns, from grounding to quote checks, that keep it from reaching your users.
A context window is the budget of text a model can see while it answers, and your backend spends it. Learn what counts against it, what happens when you go over, and 3 patterns that keep an AI feature inside it.
This guide provides a complete roadmap to becoming an AI Engineer using Python.
AI engineering is production systems work, not machine learning research. Backend engineers are closer to this role than data scientists are, because the job is mostly APIs, retrieval, cost control, and reliability. Here is what it takes and a realistic 90-day path.