Prompt Engineering
The practice of designing and refining input prompts to guide LLMs toward producing desired outputs more reliably and accurately.
Prompt engineering is the skill of crafting inputs that effectively communicate intent to a language model. Well-designed prompts can dramatically improve output quality, accuracy, and consistency.
Common prompt engineering techniques:
- Zero-Shot Prompting: Simply asking the model to perform a task
- Few-Shot Prompting: Providing examples of the desired output format
- Chain-of-Thought (CoT): Asking the model to reason step by step
- System Prompts: Setting the behavior and persona of the model
- Role Prompting: Assigning a specific role to the model
Prompt engineering has become an important skill in the AI era, with dedicated tools and marketplaces emerging. It is often more practical and cost-effective than fine-tuning for many use cases.
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