Is excitedabout thepotential ofLLMs ineducationIs interestedin the ethicalimplicationsof generativeAIIs familiarwith theconcept ofpromptengineeringHas collaboratedon a researchpaper withsomeone from adifferent continentHas presenteda paper onnaturallanguagegenerationHas used agenerative AImodel for anon-academicpurposeIs currentlyworking on aprojectinvolving cross-lingual transferlearningHas experiencewith low-resourcelanguages inNLPIs optimisticabout thefuture ofhuman-AIcollaborationCan namethreedifferent LLMarchitecturesHasexperiencewith fine-tuning a pre-trained LLMHas used anLLM tosummarizeresearchpapersHas apreferred AIresearch toolthey canrecommendHas traveledinternationallyto attend thisconferenceHasattended anICMLconferencebeforeHas learneda newlanguage inthe last yearKnows atleast threeprogramminglanguagesCan explain thedifferencebetween causaland maskedlanguagemodelsHas used agenerative AImodel tocreate art ormusicHascontributedto an open-source AIprojectHaspublishedresearch onmultilingualLLMsHasparticipated ina hackathonfocused on AIor LLMsCanrecommenda good AI ortech relatedpodcastHassuccessfullydebugged acomplexLLMIs excitedabout thepotential ofLLMs ineducationIs interestedin the ethicalimplicationsof generativeAIIs familiarwith theconcept ofpromptengineeringHas collaboratedon a researchpaper withsomeone from adifferent continentHas presenteda paper onnaturallanguagegenerationHas used agenerative AImodel for anon-academicpurposeIs currentlyworking on aprojectinvolving cross-lingual transferlearningHas experiencewith low-resourcelanguages inNLPIs optimisticabout thefuture ofhuman-AIcollaborationCan namethreedifferent LLMarchitecturesHasexperiencewith fine-tuning a pre-trained LLMHas used anLLM tosummarizeresearchpapersHas apreferred AIresearch toolthey canrecommendHas traveledinternationallyto attend thisconferenceHasattended anICMLconferencebeforeHas learneda newlanguage inthe last yearKnows atleast threeprogramminglanguagesCan explain thedifferencebetween causaland maskedlanguagemodelsHas used agenerative AImodel tocreate art ormusicHascontributedto an open-source AIprojectHaspublishedresearch onmultilingualLLMsHasparticipated ina hackathonfocused on AIor LLMsCanrecommenda good AI ortech relatedpodcastHassuccessfullydebugged acomplexLLM

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