Has traveledinternationallyto attend thisconferenceHas used anLLM tosummarizeresearchpapersHasparticipated ina hackathonfocused on AIor LLMsIs excitedabout thepotential ofLLMs ineducationHas used agenerative AImodel tocreate art ormusicHasattended anICMLconferencebeforeCan explain thedifferencebetween causaland maskedlanguagemodelsIs interestedin the ethicalimplicationsof generativeAIHas collaboratedon a researchpaper withsomeone from adifferent continentHassuccessfullydebugged acomplexLLMHascontributedto an open-source AIprojectHas used agenerative AImodel for anon-academicpurposeCan namethreedifferent LLMarchitecturesIs optimisticabout thefuture ofhuman-AIcollaborationHasexperiencewith fine-tuning a pre-trained LLMIs familiarwith theconcept ofpromptengineeringHas presenteda paper onnaturallanguagegenerationIs currentlyworking on aprojectinvolving cross-lingual transferlearningCanrecommenda good AI ortech relatedpodcastKnows atleast threeprogramminglanguagesHas learneda newlanguage inthe last yearHas apreferred AIresearch toolthey canrecommendHas experiencewith low-resourcelanguages inNLPHaspublishedresearch onmultilingualLLMsHas traveledinternationallyto attend thisconferenceHas used anLLM tosummarizeresearchpapersHasparticipated ina hackathonfocused on AIor LLMsIs excitedabout thepotential ofLLMs ineducationHas used agenerative AImodel tocreate art ormusicHasattended anICMLconferencebeforeCan explain thedifferencebetween causaland maskedlanguagemodelsIs interestedin the ethicalimplicationsof generativeAIHas collaboratedon a researchpaper withsomeone from adifferent continentHassuccessfullydebugged acomplexLLMHascontributedto an open-source AIprojectHas used agenerative AImodel for anon-academicpurposeCan namethreedifferent LLMarchitecturesIs optimisticabout thefuture ofhuman-AIcollaborationHasexperiencewith fine-tuning a pre-trained LLMIs familiarwith theconcept ofpromptengineeringHas presenteda paper onnaturallanguagegenerationIs currentlyworking on aprojectinvolving cross-lingual transferlearningCanrecommenda good AI ortech relatedpodcastKnows atleast threeprogramminglanguagesHas learneda newlanguage inthe last yearHas apreferred AIresearch toolthey canrecommendHas experiencewith low-resourcelanguages inNLPHaspublishedresearch onmultilingualLLMs

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