Is currentlyworking on aprojectinvolving cross-lingual transferlearningHasattended anICMLconferencebeforeHasparticipated ina hackathonfocused on AIor LLMsCan explain thedifferencebetween causaland maskedlanguagemodelsHasexperiencewith fine-tuning a pre-trained LLMHas used anLLM tosummarizeresearchpapersCanrecommenda good AI ortech relatedpodcastHas used agenerative AImodel for anon-academicpurposeHas experiencewith low-resourcelanguages inNLPHas presenteda paper onnaturallanguagegenerationHassuccessfullydebugged acomplexLLMIs familiarwith theconcept ofpromptengineeringHaspublishedresearch onmultilingualLLMsHas collaboratedon a researchpaper withsomeone from adifferent continentHas used agenerative AImodel tocreate art ormusicHas learneda newlanguage inthe last yearIs optimisticabout thefuture ofhuman-AIcollaborationHas apreferred AIresearch toolthey canrecommendHas traveledinternationallyto attend thisconferenceCan namethreedifferent LLMarchitecturesKnows atleast threeprogramminglanguagesIs interestedin the ethicalimplicationsof generativeAIIs excitedabout thepotential ofLLMs ineducationHascontributedto an open-source AIprojectIs currentlyworking on aprojectinvolving cross-lingual transferlearningHasattended anICMLconferencebeforeHasparticipated ina hackathonfocused on AIor LLMsCan explain thedifferencebetween causaland maskedlanguagemodelsHasexperiencewith fine-tuning a pre-trained LLMHas used anLLM tosummarizeresearchpapersCanrecommenda good AI ortech relatedpodcastHas used agenerative AImodel for anon-academicpurposeHas experiencewith low-resourcelanguages inNLPHas presenteda paper onnaturallanguagegenerationHassuccessfullydebugged acomplexLLMIs familiarwith theconcept ofpromptengineeringHaspublishedresearch onmultilingualLLMsHas collaboratedon a researchpaper withsomeone from adifferent continentHas used agenerative AImodel tocreate art ormusicHas learneda newlanguage inthe last yearIs optimisticabout thefuture ofhuman-AIcollaborationHas apreferred AIresearch toolthey canrecommendHas traveledinternationallyto attend thisconferenceCan namethreedifferent LLMarchitecturesKnows atleast threeprogramminglanguagesIs interestedin the ethicalimplicationsof generativeAIIs excitedabout thepotential ofLLMs ineducationHascontributedto an open-source AIproject

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