Hasparticipated ina hackathonfocused on AIor LLMsCan explain thedifferencebetween causaland maskedlanguagemodelsIs optimisticabout thefuture ofhuman-AIcollaborationHas used agenerative AImodel tocreate art ormusicHas collaboratedon a researchpaper withsomeone from adifferent continentHasexperiencewith fine-tuning a pre-trained LLMHas used anLLM tosummarizeresearchpapersHas traveledinternationallyto attend thisconferenceIs interestedin the ethicalimplicationsof generativeAIHas learneda newlanguage inthe last yearHas presenteda paper onnaturallanguagegenerationHaspublishedresearch onmultilingualLLMsHascontributedto an open-source AIprojectIs familiarwith theconcept ofpromptengineeringKnows atleast threeprogramminglanguagesIs currentlyworking on aprojectinvolving cross-lingual transferlearningHassuccessfullydebugged acomplexLLMHasattended anICMLconferencebeforeHas apreferred AIresearch toolthey canrecommendHas experiencewith low-resourcelanguages inNLPCan namethreedifferent LLMarchitecturesHas used agenerative AImodel for anon-academicpurposeIs excitedabout thepotential ofLLMs ineducationCanrecommenda good AI ortech relatedpodcastHasparticipated ina hackathonfocused on AIor LLMsCan explain thedifferencebetween causaland maskedlanguagemodelsIs optimisticabout thefuture ofhuman-AIcollaborationHas used agenerative AImodel tocreate art ormusicHas collaboratedon a researchpaper withsomeone from adifferent continentHasexperiencewith fine-tuning a pre-trained LLMHas used anLLM tosummarizeresearchpapersHas traveledinternationallyto attend thisconferenceIs interestedin the ethicalimplicationsof generativeAIHas learneda newlanguage inthe last yearHas presenteda paper onnaturallanguagegenerationHaspublishedresearch onmultilingualLLMsHascontributedto an open-source AIprojectIs familiarwith theconcept ofpromptengineeringKnows atleast threeprogramminglanguagesIs currentlyworking on aprojectinvolving cross-lingual transferlearningHassuccessfullydebugged acomplexLLMHasattended anICMLconferencebeforeHas apreferred AIresearch toolthey canrecommendHas experiencewith low-resourcelanguages inNLPCan namethreedifferent LLMarchitecturesHas used agenerative AImodel for anon-academicpurposeIs excitedabout thepotential ofLLMs ineducationCanrecommenda good AI ortech relatedpodcast

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