OpenAI recommends iterating on prompts, retrieval-augmented generation and fine tuning to move LLM prototypes into production. Prompt engineering clarifies instructions and adds examples. Retrieval supplies fresh context from your knowledge base. Fine tuning refines the base model to follow your style precisely.
Measuring progress with systematic evaluations lets teams test changes objectively. Combining these strategies helps deliver faster, cheaper and more accurate applications.