Canrecommenda good AI ortech relatedpodcastHassuccessfullydebugged acomplexLLMHas used agenerative AImodel tocreate art ormusicIs optimisticabout thefuture ofhuman-AIcollaborationHas used agenerative AImodel for anon-academicpurposeCan namethreedifferent LLMarchitecturesHasparticipated ina hackathonfocused on AIor LLMsIs currentlyworking on aprojectinvolving cross-lingual transferlearningIs excitedabout thepotential ofLLMs ineducationHaspublishedresearch onmultilingualLLMsHasattended anICMLconferencebeforeHas used anLLM tosummarizeresearchpapersHas presenteda paper onnaturallanguagegenerationHas apreferred AIresearch toolthey canrecommendHasexperiencewith fine-tuning a pre-trained LLMKnows atleast threeprogramminglanguagesHas learneda newlanguage inthe last yearHas experiencewith low-resourcelanguages inNLPHascontributedto an open-source AIprojectCan explain thedifferencebetween causaland maskedlanguagemodelsIs interestedin the ethicalimplicationsof generativeAIHas collaboratedon a researchpaper withsomeone from adifferent continentIs familiarwith theconcept ofpromptengineeringHas traveledinternationallyto attend thisconferenceCanrecommenda good AI ortech relatedpodcastHassuccessfullydebugged acomplexLLMHas used agenerative AImodel tocreate art ormusicIs optimisticabout thefuture ofhuman-AIcollaborationHas used agenerative AImodel for anon-academicpurposeCan namethreedifferent LLMarchitecturesHasparticipated ina hackathonfocused on AIor LLMsIs currentlyworking on aprojectinvolving cross-lingual transferlearningIs excitedabout thepotential ofLLMs ineducationHaspublishedresearch onmultilingualLLMsHasattended anICMLconferencebeforeHas used anLLM tosummarizeresearchpapersHas presenteda paper onnaturallanguagegenerationHas apreferred AIresearch toolthey canrecommendHasexperiencewith fine-tuning a pre-trained LLMKnows atleast threeprogramminglanguagesHas learneda newlanguage inthe last yearHas experiencewith low-resourcelanguages inNLPHascontributedto an open-source AIprojectCan explain thedifferencebetween causaland maskedlanguagemodelsIs interestedin the ethicalimplicationsof generativeAIHas collaboratedon a researchpaper withsomeone from adifferent continentIs familiarwith theconcept ofpromptengineeringHas traveledinternationallyto attend thisconference

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