Make My Jeopardy

AI at Work Jeopardy

How AI tools work, good prompting, hallucinations, and what never to paste into a chatbot. A free board your team can copy and play with phone buzzers.

6 categories, 30 clues, Final Jeopardy. Everyone buzzes in from their phone.

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Every clue on this board

This page is public, so anyone can read the answers — copy the board and swap a few clues before game day.

How Language Models Work

  1. $200

    Language models read and write text in these small chunks, which can be whole words or pieces of words.

    What are tokens?

  2. $400

    Rather than looking facts up, a language model writes by repeatedly predicting this.

    What is the next word?

  3. $600

    The maximum amount of text a model can take into account at once is called this.

    What is the context window?

  4. $800

    This setting controls how random a model's output is, with lower values giving more predictable text.

    What is temperature?

  5. $1,000

    The 2017 paper Attention Is All You Need introduced this neural network architecture.

    What is the transformer?

Writing Good Prompts

  1. $200

    Telling the model to act as an experienced editor is assigning it one of these.

    What is a role?

  2. $400

    Including a few examples of what you want in the prompt is this kind of prompting.

    What is few-shot prompting?

  3. $600

    Telling the model exactly how you want the answer laid out, such as a table or bullet list, specifies this.

    What is the output format?

  4. $800

    Asking a model to think step by step is associated with this prompting technique.

    What is chain-of-thought?

  5. $1,000

    Splitting a complex task into a sequence of smaller prompts, each feeding the next, is called this.

    What is prompt chaining?

Hallucinations

  1. $200

    Before relying on an AI-generated statistic, you should do this against an original source.

    What is fact-checking?

  2. $400

    In a 2023 New York case, lawyers were sanctioned for filing a brief with made-up examples of these produced by a chatbot.

    What are case citations?

  3. $600

    A model may invent details about events after this date, where its training data ends.

    What is the knowledge cutoff?

  4. $800

    This technique reduces made-up answers by having the model fetch relevant documents and answer from them.

    What is retrieval-augmented generation?

  5. $1,000

    Keeping a person responsible for reviewing AI output before it is used is known by this phrase.

    What is human in the loop?

Protecting Company Data

  1. $200

    Some public AI chatbots may use what you type to improve future models, so never paste in this kind of information.

    What is confidential information?

  2. $400

    Before using an AI tool for work, check this company document setting out approved and banned uses.

    What is an acceptable use policy?

  3. $600

    This term describes employees using AI tools that IT has not approved or does not know about.

    What is shadow AI?

  4. $800

    Names, home addresses and Social Security numbers are examples of this kind of information.

    What is personally identifiable information?

  5. $1,000

    This attack hides malicious instructions in content a model reads, such as a webpage or email.

    What is prompt injection?

AI Vocabulary

  1. $200

    AI that creates new text, images or audio is called this.

    What is generative AI?

  2. $400

    This term describes an AI system that can take actions and complete multi-step tasks on its own, not just chat.

    What is an AI agent?

  3. $600

    Models that can handle text, images and audio together are described with this word.

    What is multimodal?

  4. $800

    Further training a pretrained model on a smaller, specialized dataset is called this.

    What is fine-tuning?

  5. $1,000

    These lists of numbers represent the meaning of words or documents and power semantic search.

    What are embeddings?

AI History

  1. $200

    This British mathematician proposed the imitation game in a 1950 paper.

    Who was Alan Turing?

  2. $400

    This IBM computer defeated world chess champion Garry Kasparov in a 1997 match.

    What is Deep Blue?

  3. $600

    This New Hampshire college hosted the 1956 summer workshop often called the founding event of AI as a field.

    What is Dartmouth College?

  4. $800

    Joseph Weizenbaum's 1960s MIT chatbot, which imitated a psychotherapist, was named this.

    What is ELIZA?

  5. $1,000

    This DeepMind program defeated Go champion Lee Sedol in 2016.

    What is AlphaGo?

Final Jeopardy — AI Vocabulary

This term describes a generative AI model confidently producing false or fabricated information, such as a citation to a source that does not exist.

What is a hallucination?

How to run this board

Generative AI tools have arrived in most workplaces faster than the training has. This board covers the basics of how large language models work, writing a useful prompt, spotting and checking hallucinations, keeping confidential data out of the wrong tools, AI vocabulary, and a short history of the field.

Treat it as an introduction or refresher that sits alongside your organization's AI use policy, not a substitute for it. Edit the data-handling clues to name the tools your company has approved and what may and may not go into them.

A useful house rule for the hallucination column: any team that answers has to say how they would verify the output. That habit is the most valuable thing the game can leave behind.

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