Has apreferred AIresearch toolthey canrecommendKnows atleast threeprogramminglanguagesIs familiarwith theconcept ofpromptengineeringHas used anLLM tosummarizeresearchpapersHasattended anICMLconferencebeforeHasexperiencewith fine-tuning a pre-trained LLMHas collaboratedon a researchpaper withsomeone from adifferent continentCan namethreedifferent LLMarchitecturesCanrecommenda good AI ortech relatedpodcastIs optimisticabout thefuture ofhuman-AIcollaborationHasparticipated ina hackathonfocused on AIor LLMsHas used agenerative AImodel for anon-academicpurposeHas experiencewith low-resourcelanguages inNLPCan explain thedifferencebetween causaland maskedlanguagemodelsHas presenteda paper onnaturallanguagegenerationIs excitedabout thepotential ofLLMs ineducationHascontributedto an open-source AIprojectIs interestedin the ethicalimplicationsof generativeAIIs currentlyworking on aprojectinvolving cross-lingual transferlearningHas traveledinternationallyto attend thisconferenceHas used agenerative AImodel tocreate art ormusicHas learneda newlanguage inthe last yearHaspublishedresearch onmultilingualLLMsHassuccessfullydebugged acomplexLLMHas apreferred AIresearch toolthey canrecommendKnows atleast threeprogramminglanguagesIs familiarwith theconcept ofpromptengineeringHas used anLLM tosummarizeresearchpapersHasattended anICMLconferencebeforeHasexperiencewith fine-tuning a pre-trained LLMHas collaboratedon a researchpaper withsomeone from adifferent continentCan namethreedifferent LLMarchitecturesCanrecommenda good AI ortech relatedpodcastIs optimisticabout thefuture ofhuman-AIcollaborationHasparticipated ina hackathonfocused on AIor LLMsHas used agenerative AImodel for anon-academicpurposeHas experiencewith low-resourcelanguages inNLPCan explain thedifferencebetween causaland maskedlanguagemodelsHas presenteda paper onnaturallanguagegenerationIs excitedabout thepotential ofLLMs ineducationHascontributedto an open-source AIprojectIs interestedin the ethicalimplicationsof generativeAIIs currentlyworking on aprojectinvolving cross-lingual transferlearningHas traveledinternationallyto attend thisconferenceHas used agenerative AImodel tocreate art ormusicHas learneda newlanguage inthe last yearHaspublishedresearch onmultilingualLLMsHassuccessfullydebugged 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. Has a preferred AI research tool they can recommend
  2. Knows at least three programming languages
  3. Is familiar with the concept of prompt engineering
  4. Has used an LLM to summarize research papers
  5. Has attended an ICML conference before
  6. Has experience with fine-tuning a pre-trained LLM
  7. Has collaborated on a research paper with someone from a different continent
  8. Can name three different LLM architectures
  9. Can recommend a good AI or tech related podcast
  10. Is optimistic about the future of human-AI collaboration
  11. Has participated in a hackathon focused on AI or LLMs
  12. Has used a generative AI model for a non-academic purpose
  13. Has experience with low-resource languages in NLP
  14. Can explain the difference between causal and masked language models
  15. Has presented a paper on natural language generation
  16. Is excited about the potential of LLMs in education
  17. Has contributed to an open-source AI project
  18. Is interested in the ethical implications of generative AI
  19. Is currently working on a project involving cross-lingual transfer learning
  20. Has traveled internationally to attend this conference
  21. Has used a generative AI model to create art or music
  22. Has learned a new language in the last year
  23. Has published research on multilingual LLMs
  24. Has successfully debugged a complex LLM