Hasexperiencewith fine-tuning a pre-trained LLMHas used anLLM in alanguageother thanenglishHas learneda newlanguage inthe last yearIs optimisticabout thefuture ofhuman-AIcollaborationHaspublishedresearch onmultilingualLLMsHas used agenerative AImodel for anon-academicpurposeHas traveledinternationallyto attend thisconferenceIs excitedabout thepotential ofLLMs ineducationHas used anLLM tosummarizeresearchpapersHascontributedto an open-source AIprojectHasparticipated ina hackathonfocused on AIor LLMsHas presenteda paper onnaturallanguagegenerationHas collaboratedon a researchpaper withsomeone from adifferent continentHasattended anICMLconferencebeforeKnows atleast threeprogramminglanguagesHas experiencewith low-resourcelanguages inNLPHassuccessfullydebugged acomplexLLMHas used agenerative AImodel tocreate art ormusicIs familiarwith theconcept ofpromptengineeringHas apreferred AIresearch toolthey canrecommendCan explain thedifferencebetween causaland maskedlanguagemodelsCanrecommenda good AI ortech relatedpodcastCan namethreedifferent LLMarchitecturesIs interestedin the ethicalimplicationsof generativeAIHasexperiencewith fine-tuning a pre-trained LLMHas used anLLM in alanguageother thanenglishHas learneda newlanguage inthe last yearIs optimisticabout thefuture ofhuman-AIcollaborationHaspublishedresearch onmultilingualLLMsHas used agenerative AImodel for anon-academicpurposeHas traveledinternationallyto attend thisconferenceIs excitedabout thepotential ofLLMs ineducationHas used anLLM tosummarizeresearchpapersHascontributedto an open-source AIprojectHasparticipated ina hackathonfocused on AIor LLMsHas presenteda paper onnaturallanguagegenerationHas collaboratedon a researchpaper withsomeone from adifferent continentHasattended anICMLconferencebeforeKnows atleast threeprogramminglanguagesHas experiencewith low-resourcelanguages inNLPHassuccessfullydebugged acomplexLLMHas used agenerative AImodel tocreate art ormusicIs familiarwith theconcept ofpromptengineeringHas apreferred AIresearch toolthey canrecommendCan explain thedifferencebetween causaland maskedlanguagemodelsCanrecommenda good AI ortech relatedpodcastCan namethreedifferent LLMarchitecturesIs interestedin the ethicalimplicationsof generativeAI

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