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Bookmark or Share- Prompt engineering techniquesLearn how to use prompt engineering to optimize your work with Azure OpenAI Service.
- Getting started with LLM prompt engineering | Microsoft LearnPrompt engineering by task-specific knowledge enrichment involves retrieving relevant knowledge from a large corpus of text and incorporating that into the prompt to improve the performance of language models.
- Prompts overview | Microsoft LearnThis article explains prompts and prompt engineering as key concepts to help you create powerful generative AI capabilities that can be leveraged across Power Platform. A prompt is a natural language instruction that tells a large language model (LLM) to perform a task.
- Design system messages with Azure OpenAI - Azure OpenAI ServiceThe system message is included at the beginning of the prompt and is used to prime the model with context, instructions, or other information relevant to your use case. You can use the system message to describe the assistant’s personality, define what the model should and shouldn’t answer, and define the format of model responses.
- Introduction to prompt engineering with GitHub CopilotUnderstand the intricate relationship between prompts and Copilot's responses, and utilize best practices in prompt engineering. Gain insights into the underlying mechanism of how GitHub Copilot handles user prompts, from secure transmission to content filtering and context analysis.
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