The practice of designing and optimizing input prompts to get desired outputs from AI models.
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.
Creating structured prompts for generating NetSuite saved searches, SQL queries, or customer email templates.
Effective prompt engineering maximizes ROI from AI investments by ensuring consistent, high-quality outputs for business processes.
AI systems that can autonomously plan, execute, and iterate on multi-step tasks with minimal human i...
Teaching AI models new tasks with just a few examples.
An LLM capability that allows the model to invoke predefined functions or APIs as part of its respon...
AI systems that can create new content including text, images, code, and data based on training patt...
When AI models generate false or nonsensical information that appears plausible.
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