AIsince 2021⏱ ~1 min

Prompt engineering

The technique of formulating precise instructions to AI models to obtain relevant, reliable, and accurate responses.

Prompt engineering is the discipline of designing, iterating, and optimising instructions (prompts) for large language models (LLMs) in order to achieve the desired output. Good prompt engineering combines clear instruction, sufficient context, the desired format, and any relevant examples (few-shot prompting). Advanced techniques include chain-of-thought (getting the model to reason step by step), RAGRetrieval Augmented Generation - AI architecture where the model is supplemented with documents retrieved in real-time to provide fact-based answers. integration, and system prompts that define the model's role and constraints. In 2024, prompt engineering is a core competency for all teams integrating AIArtificial Intelligence - technology that enables machines to perform tasks that normally require human intelligence, such as language understanding, pattern recognition, and decision-making. into business processes.

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