Has experiencewith low-resourcelanguages inNLPHas used anLLM tosummarizeresearchpapersIs excitedabout thepotential ofLLMs ineducationHasparticipated ina hackathonfocused on AIor LLMsHas learneda newlanguage inthe last yearIs familiarwith theconcept ofpromptengineeringHaspublishedresearch onmultilingualLLMsHas collaboratedon a researchpaper withsomeone from adifferent continentKnows atleast threeprogramminglanguagesHassuccessfullydebugged acomplexLLMHas presenteda paper onnaturallanguagegenerationHas used agenerative AImodel tocreate art ormusicHasattended anICMLconferencebeforeIs optimisticabout thefuture ofhuman-AIcollaborationHas traveledinternationallyto attend thisconferenceHas used agenerative AImodel for anon-academicpurposeIs currentlyworking on aprojectinvolving cross-lingual transferlearningHas apreferred AIresearch toolthey canrecommendHascontributedto an open-source AIprojectCanrecommenda good AI ortech relatedpodcastCan explain thedifferencebetween causaland maskedlanguagemodelsCan namethreedifferent LLMarchitecturesIs interestedin the ethicalimplicationsof generativeAIHasexperiencewith fine-tuning a pre-trained LLMHas experiencewith low-resourcelanguages inNLPHas used anLLM tosummarizeresearchpapersIs excitedabout thepotential ofLLMs ineducationHasparticipated ina hackathonfocused on AIor LLMsHas learneda newlanguage inthe last yearIs familiarwith theconcept ofpromptengineeringHaspublishedresearch onmultilingualLLMsHas collaboratedon a researchpaper withsomeone from adifferent continentKnows atleast threeprogramminglanguagesHassuccessfullydebugged acomplexLLMHas presenteda paper onnaturallanguagegenerationHas used agenerative AImodel tocreate art ormusicHasattended anICMLconferencebeforeIs optimisticabout thefuture ofhuman-AIcollaborationHas traveledinternationallyto attend thisconferenceHas used agenerative AImodel for anon-academicpurposeIs currentlyworking on aprojectinvolving cross-lingual transferlearningHas apreferred AIresearch toolthey canrecommendHascontributedto an open-source AIprojectCanrecommenda good AI ortech relatedpodcastCan explain thedifferencebetween causaland maskedlanguagemodelsCan namethreedifferent LLMarchitecturesIs interestedin the ethicalimplicationsof generativeAIHasexperiencewith fine-tuning a pre-trained LLM

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