AI Chatbot Glossary
What Is Prompt Engineering?
Prompt engineering is the art of crafting instructions that guide AI models to produce desired outputs — defining chatbot personality, knowledge boundaries, and response rules.
Definition
The art and science of crafting instructions (prompts) that guide AI models to produce desired outputs. In chatbot development, prompt engineering involves writing system instructions that define the bot's personality, knowledge boundaries, response format, and behavioral rules.
Why Prompt Engineering Matters for AI Chatbots
Prompt engineering is where most chatbot quality is won or lost. A bad prompt produces a generic, over-eager, hallucinating bot. A good prompt says "answer only from the context below, say 'I don't know' when unsure, never give legal/medical advice" — and the model behaves accordingly.
Related Terms
Hallucination
A hallucination is when an AI model generates information that sounds plausible but is factually incorrect — a key risk in generative AI chatbots, mitigated by RAG and strict prompts.
Bot Training
Bot training is the process of providing a chatbot with data, instructions, and examples so it can respond accurately to user queries.
Large Language Model (LLM)
An LLM is an AI model trained on vast amounts of text that can understand and generate human language — LLMs like GPT-5.4, Claude, and Gemini power modern chatbots.
RAG (Retrieval-Augmented Generation)
RAG is a technique that enhances AI responses by retrieving relevant information from a knowledge base before generating an answer — reducing hallucinations and grounding replies in real data.
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