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AI for Cities
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The power of a good prompt

A vague prompt gets unpredictable results. A specific one gets reliable results. Here's how to write prompts that actually work, using techniques you already know from managing people.

What is a context window?

LLMs can only hold so much information at once. Understanding context windows helps explain why long conversations sometimes go off the rails.

Why do LLMs hallucinate?

LLMs can generate confident, detailed responses that are completely wrong. Understanding why this happens helps you use these tools effectively.

How do LLMs generate text?

When ChatGPT responds to your prompt, it's not retrieving an answer from a database. It's predicting the next word, one token at a time, based on probability.

What is semantic search?

Learn how adding semantic search to your city's toolbox can dramatically improve search accuracy and make your website easier for everyone to use.

AI terminology you should probably know

Get up to speed on the fundamentals of artificial intelligence, from machine learning and generative AI to neural networks and prompt engineering, all tailored for how cities can put these tools to work. This first installment of AI for Cities breaks down complex tech into clear, practical language for local government leaders ready to explore the future of smarter, more efficient city operations.
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