Fine-Tuning

Concept

Fine-Tuning Explained

When to fine-tune, when not to, and how to do it without burning weekend cycles. The honest version.

Comparison

RAG vs Fine-Tuning vs Long Context

Three ways to make an LLM work with your data. When to retrieve, when to train, when to paste — and when to use none of them.

Interview

What's the difference between full fine-tuning, LoRA, and instruction tuning?

Modern AI work involves choosing the right fine-tuning approach. Tests current knowledge.

Interview

When would you use RAG vs fine-tuning to give an LLM access to new information?

Tests practical LLM judgment — this is the #1 question in applied AI interviews in 2026.