Definition
The practice of designing and optimizing input prompts to get desired outputs from AI models.
In Depth
Prompt engineering involves crafting specific instructions, examples, and context to guide AI models toward producing accurate and relevant responses. It includes techniques like few-shot learning, chain-of-thought prompting, and role-playing.
Example Usage
Creating structured prompts for generating NetSuite saved searches, SQL queries, or customer email templates.
Business Context
Effective prompt engineering maximizes ROI from AI investments by ensuring consistent, high-quality outputs for business processes.
Related Terms
Agentic AI
AI systems that can autonomously plan, execute, and iterate on multi-step tasks with minimal human i...
Few-shot Learning
Teaching AI models new tasks with just a few examples.
Function Calling
An LLM capability that allows the model to invoke predefined functions or APIs as part of its respon...
Generative AI
AI systems that can create new content including text, images, code, and data based on training patt...
Hallucination
When AI models generate false or nonsensical information that appears plausible.
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