Has traveledinternationallyto attend thisconferenceHas experiencewith low-resourcelanguages inNLPHasattended anICMLconferencebeforeHas learneda newlanguage inthe last yearHas collaboratedon a researchpaper withsomeone from adifferent continentHas apreferred AIresearch toolthey canrecommendHasparticipated ina hackathonfocused on AIor LLMsHas used agenerative AImodel for anon-academicpurposeCanrecommenda good AI ortech relatedpodcastKnows atleast threeprogramminglanguagesHas presenteda paper onnaturallanguagegenerationHasexperiencewith fine-tuning a pre-trained LLMHas used anLLM tosummarizeresearchpapersIs familiarwith theconcept ofpromptengineeringHassuccessfullydebugged acomplexLLMIs interestedin the ethicalimplicationsof generativeAICan namethreedifferent LLMarchitecturesIs excitedabout thepotential ofLLMs ineducationHaspublishedresearch onmultilingualLLMsHascontributedto an open-source AIprojectCan explain thedifferencebetween causaland maskedlanguagemodelsIs currentlyworking on aprojectinvolving cross-lingual transferlearningIs optimisticabout thefuture ofhuman-AIcollaborationHas used agenerative AImodel tocreate art ormusicHas traveledinternationallyto attend thisconferenceHas experiencewith low-resourcelanguages inNLPHasattended anICMLconferencebeforeHas learneda newlanguage inthe last yearHas collaboratedon a researchpaper withsomeone from adifferent continentHas apreferred AIresearch toolthey canrecommendHasparticipated ina hackathonfocused on AIor LLMsHas used agenerative AImodel for anon-academicpurposeCanrecommenda good AI ortech relatedpodcastKnows atleast threeprogramminglanguagesHas presenteda paper onnaturallanguagegenerationHasexperiencewith fine-tuning a pre-trained LLMHas used anLLM tosummarizeresearchpapersIs familiarwith theconcept ofpromptengineeringHassuccessfullydebugged acomplexLLMIs interestedin the ethicalimplicationsof generativeAICan namethreedifferent LLMarchitecturesIs excitedabout thepotential ofLLMs ineducationHaspublishedresearch onmultilingualLLMsHascontributedto an open-source AIprojectCan explain thedifferencebetween causaland maskedlanguagemodelsIs currentlyworking on aprojectinvolving cross-lingual transferlearningIs optimisticabout thefuture ofhuman-AIcollaborationHas used agenerative AImodel tocreate art ormusic

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