Prompt Engineering: How to Guide LLM Behavior in Customer Conversations

Video by H2O.ai via YouTube
Prompt Engineering: How to Guide LLM Behavior in Customer Conversations

The same model gives very different answers depending on how you ask. Prompt engineering is how you take control of that.

Terms covered:
– Prompt Engineering: designing inputs that consistently produce useful, accurate, well-structured outputs. Specify the task, give context, set the format, anticipate edge cases.
– System Prompt: the instructions given to a model before the conversation starts, defining its persona, scope, tone and constraints. Users rarely see it, but it governs everything.
– Prompt Catalog: a library of tested, reusable prompts so teams stop reinventing the same one from scratch

Prompt engineering is not about tricking the model. It is about communicating clearly with it.

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AI Fundamentals Glossary | H2O.ai University
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