Has apreferred AIresearch toolthey canrecommendHas used agenerative AImodel for anon-academicpurposeHasparticipated ina hackathonfocused on AIor LLMsIs familiarwith theconcept ofpromptengineeringHasexperiencewith fine-tuning a pre-trained LLMIs interestedin the ethicalimplicationsof generativeAIHascontributedto an open-source AIprojectHasattended anICMLconferencebeforeHas traveledinternationallyto attend thisconferenceHas learneda newlanguage inthe last yearHas used anLLM tosummarizeresearchpapersHassuccessfullydebugged acomplexLLMHas used anLLM in alanguageother thanenglishCan namethreedifferent LLMarchitecturesIs excitedabout thepotential ofLLMs ineducationKnows atleast threeprogramminglanguagesHas collaboratedon a researchpaper withsomeone from adifferent continentCan explain thedifferencebetween causaland maskedlanguagemodelsHas presenteda paper onnaturallanguagegenerationIs optimisticabout thefuture ofhuman-AIcollaborationHas used agenerative AImodel tocreate art ormusicHaspublishedresearch onmultilingualLLMsCanrecommenda good AI ortech relatedpodcastHas experiencewith low-resourcelanguages inNLPHas apreferred AIresearch toolthey canrecommendHas used agenerative AImodel for anon-academicpurposeHasparticipated ina hackathonfocused on AIor LLMsIs familiarwith theconcept ofpromptengineeringHasexperiencewith fine-tuning a pre-trained LLMIs interestedin the ethicalimplicationsof generativeAIHascontributedto an open-source AIprojectHasattended anICMLconferencebeforeHas traveledinternationallyto attend thisconferenceHas learneda newlanguage inthe last yearHas used anLLM tosummarizeresearchpapersHassuccessfullydebugged acomplexLLMHas used anLLM in alanguageother thanenglishCan namethreedifferent LLMarchitecturesIs excitedabout thepotential ofLLMs ineducationKnows atleast threeprogramminglanguagesHas collaboratedon a researchpaper withsomeone from adifferent continentCan explain thedifferencebetween causaland maskedlanguagemodelsHas presenteda paper onnaturallanguagegenerationIs optimisticabout thefuture ofhuman-AIcollaborationHas used agenerative AImodel tocreate art ormusicHaspublishedresearch onmultilingualLLMsCanrecommenda good AI ortech relatedpodcastHas experiencewith low-resourcelanguages inNLP

Human BINGO: Navigating Generative AI and LLMs Across Languages - Call List

(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.


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  1. Has a preferred AI research tool they can recommend
  2. Has used a generative AI model for a non-academic purpose
  3. Has participated in a hackathon focused on AI or LLMs
  4. Is familiar with the concept of prompt engineering
  5. Has experience with fine-tuning a pre-trained LLM
  6. Is interested in the ethical implications of generative AI
  7. Has contributed to an open-source AI project
  8. Has attended an ICML conference before
  9. Has traveled internationally to attend this conference
  10. Has learned a new language in the last year
  11. Has used an LLM to summarize research papers
  12. Has successfully debugged a complex LLM
  13. Has used an LLM in a language other than english
  14. Can name three different LLM architectures
  15. Is excited about the potential of LLMs in education
  16. Knows at least three programming languages
  17. Has collaborated on a research paper with someone from a different continent
  18. Can explain the difference between causal and masked language models
  19. Has presented a paper on natural language generation
  20. Is optimistic about the future of human-AI collaboration
  21. Has used a generative AI model to create art or music
  22. Has published research on multilingual LLMs
  23. Can recommend a good AI or tech related podcast
  24. Has experience with low-resource languages in NLP