Prompt Engineering: Steering AI with Words
Prompt engineering is steering an AI with carefully chosen words instead of code. You use it to get reliable results from chatbots like ChatGPT or to build applications that use large language models (LLMs). The biggest mistake is treating the AI like a search engine; effective prompts provide context, examples, and constraints to guide the model, rather than just asking a simple question.
Prompt engineering is the art of steering a generative AI model with words rather than traditional code. Think of it as being a skilled director for an improvisational actor—your instructions (the prompt) determine the performance (the output). This is essential for anyone using LLMs, from refining ChatGPT queries to developers building API-driven apps. A related field, context engineering, manages non-prompt data like API tools to further guide the model. The most common footgun is treating the AI like a search engine; effective prompting is a dialogue that requires providing context, examples, and constraints to get a specific result.
Read the original → Wikipedia: Prompt engineering
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- #generative ai
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