Azure Machine Learning introduces Prompt Engineering; a crucial role in harnessing the full potential of Large Language Model (LLM) to develop innovative applications with human-like text understanding and generation capability. The process of prompt engineering involves preparing tailor-made prompts, executing prompt use via LLM API, fine-tuning prompt quality, and achieving good possible content for specific business scenarios. It offers an iterative process towards production that provides insights to refine prompt flow, which leads to enhanced end-user experiences and prompt performance.
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