Prompt Engineering & Evaluation

Relying on ad-hoc prompt tweaking and visual inspection doesn’t scale for production software. Dependable LLM integration demands clear instruction design, structured context formatting, and automated evaluations to catch regressions.

This topic covers techniques for refining model instructions, establishing evaluation benchmarks, and treating prompts with the same engineering rigor as traditional code.