Is interestedin the ethicalimplicationsof generativeAIHas experiencewith low-resourcelanguages inNLPHasattended anICMLconferencebeforeHas used anLLM in alanguageother thanenglishIs familiarwith theconcept ofpromptengineeringCan namethreedifferent LLMarchitecturesIs excitedabout thepotential ofLLMs ineducationHasexperiencewith fine-tuning a pre-trained LLMHas collaboratedon a researchpaper withsomeone from adifferent continentHasparticipated ina hackathonfocused on AIor LLMsHassuccessfullydebugged acomplexLLMHas presenteda paper onnaturallanguagegenerationHas used agenerative AImodel for anon-academicpurposeHas traveledinternationallyto attend thisconferenceKnows atleast threeprogramminglanguagesHaspublishedresearch onmultilingualLLMsIs optimisticabout thefuture ofhuman-AIcollaborationHas used agenerative AImodel tocreate art ormusicHas apreferred AIresearch toolthey canrecommendHas learneda newlanguage inthe last yearHas used anLLM tosummarizeresearchpapersCanrecommenda good AI ortech relatedpodcastHascontributedto an open-source AIprojectCan explain thedifferencebetween causaland maskedlanguagemodelsIs interestedin the ethicalimplicationsof generativeAIHas experiencewith low-resourcelanguages inNLPHasattended anICMLconferencebeforeHas used anLLM in alanguageother thanenglishIs familiarwith theconcept ofpromptengineeringCan namethreedifferent LLMarchitecturesIs excitedabout thepotential ofLLMs ineducationHasexperiencewith fine-tuning a pre-trained LLMHas collaboratedon a researchpaper withsomeone from adifferent continentHasparticipated ina hackathonfocused on AIor LLMsHassuccessfullydebugged acomplexLLMHas presenteda paper onnaturallanguagegenerationHas used agenerative AImodel for anon-academicpurposeHas traveledinternationallyto attend thisconferenceKnows atleast threeprogramminglanguagesHaspublishedresearch onmultilingualLLMsIs optimisticabout thefuture ofhuman-AIcollaborationHas used agenerative AImodel tocreate art ormusicHas apreferred AIresearch toolthey canrecommendHas learneda newlanguage inthe last yearHas used anLLM tosummarizeresearchpapersCanrecommenda good AI ortech relatedpodcastHascontributedto an open-source AIprojectCan explain thedifferencebetween causaland maskedlanguagemodels

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