Practical prompt patterns for vision-language models: constrained outputs, role-scoped system prompts, chain-of-thought reasoning, and a VLM benchmark comparison framework.

How to format LLM outputs for visual tools, design reliable handoff payloads, and test multi-modal AI pipelines where text rubrics miss image quality.

Audio transcription at scale for RAG: covering throughput, accuracy tradeoffs, spoken content chunking, and how transcript quality shapes retrieval performance.

Learn a three-phase prompt testing workflow that scales from rapid exploration to automated regression pipelines, stopping silent production failures.