What is Prompt Engineering?
The practice of designing inputs for AI models to produce optimal outputs.
Short answer
Prompt Engineering is the iterative process of designing and refining the instructions (prompts) given to an AI model to guide it toward producing the most accurate and useful output.
Effective prompt engineering involves crafting instructions that guide the model's behavior. Techniques include zero-shot prompting, few-shot prompting, and chain-of-thought prompting. It is a critical skill for developers building AI applications and agents.
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Related Terms
Retrieval-Augmented Generation (RAG)
A technique that enhances the accuracy and reliability of generative AI models with facts fetched from external sources.
Fine-tuning
The process of training a pre-trained model on a smaller, specific dataset to adapt it for a particular task.
Zero-shot Learning
The ability of a model to perform a task without having seen any specific examples of that task during training.