Quick Answer
What is Prompt Engineering?
Prompt Engineering is the practice of designing instructions that get useful, accurate output from AI models.
Generative AI
Prompt Engineering
By Glintr Editorial TeamReviewed by Glintr Learn ReviewersUpdated 5 min readArea: Generative AI
Definition
Prompt Engineering is the discipline of writing effective inputs — instructions, examples and constraints — for large language models. It combines clear thinking, structured writing and an understanding of how models interpret context.
Real-world examples
- Giving the model a role: 'You are a financial analyst…'
- Providing few-shot examples of the desired output.
- Asking the model to think step by step for reasoning tasks.
Common mistakes
- Writing vague, one-line prompts and expecting expert output.
- Forgetting to specify the desired format.
- Not verifying facts in the model's response.
Related Concepts
- ChatGPTChatGPT is a conversational AI assistant built on OpenAI's GPT family of large language models.
- ClaudeClaude is an AI assistant built by Anthropic, known for careful reasoning and long-context understanding.
- GeminiGemini is Google's family of multimodal AI models, capable of working across text, images, audio and video.
- Generative AIGenerative AI refers to AI systems that create new content — text, images, code or audio — based on learned patterns.
- Large Language ModelA Large Language Model is an AI system trained on massive text data to understand and generate human-like language.