Has traveledinternationallyto attend thisconferenceHasparticipated ina hackathonfocused on AIor LLMsHas presenteda paper onnaturallanguagegenerationHassuccessfullydebugged acomplexLLMCan explain thedifferencebetween causaland maskedlanguagemodelsIs excitedabout thepotential ofLLMs ineducationHas used agenerative AImodel tocreate art ormusicCan namethreedifferent LLMarchitecturesHasattended anICMLconferencebeforeHas used anLLM tosummarizeresearchpapersHas learneda newlanguage inthe last yearHaspublishedresearch onmultilingualLLMsHascontributedto an open-source AIprojectHasexperiencewith fine-tuning a pre-trained LLMHas collaboratedon a researchpaper withsomeone from adifferent continentHas used agenerative AImodel for anon-academicpurposeKnows atleast threeprogramminglanguagesIs optimisticabout thefuture ofhuman-AIcollaborationHas used anLLM in alanguageother thanenglishHas apreferred AIresearch toolthey canrecommendHas experiencewith low-resourcelanguages inNLPIs interestedin the ethicalimplicationsof generativeAIIs familiarwith theconcept ofpromptengineeringCanrecommenda good AI ortech relatedpodcastHas traveledinternationallyto attend thisconferenceHasparticipated ina hackathonfocused on AIor LLMsHas presenteda paper onnaturallanguagegenerationHassuccessfullydebugged acomplexLLMCan explain thedifferencebetween causaland maskedlanguagemodelsIs excitedabout thepotential ofLLMs ineducationHas used agenerative AImodel tocreate art ormusicCan namethreedifferent LLMarchitecturesHasattended anICMLconferencebeforeHas used anLLM tosummarizeresearchpapersHas learneda newlanguage inthe last yearHaspublishedresearch onmultilingualLLMsHascontributedto an open-source AIprojectHasexperiencewith fine-tuning a pre-trained LLMHas collaboratedon a researchpaper withsomeone from adifferent continentHas used agenerative AImodel for anon-academicpurposeKnows atleast threeprogramminglanguagesIs optimisticabout thefuture ofhuman-AIcollaborationHas used anLLM in alanguageother thanenglishHas apreferred AIresearch toolthey canrecommendHas experiencewith low-resourcelanguages inNLPIs interestedin the ethicalimplicationsof generativeAIIs familiarwith theconcept ofpromptengineeringCanrecommenda 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 traveled internationally to attend this conference
  2. Has participated in a hackathon focused on AI or LLMs
  3. Has presented a paper on natural language generation
  4. Has successfully debugged a complex LLM
  5. Can explain the difference between causal and masked language models
  6. Is excited about the potential of LLMs in education
  7. Has used a generative AI model to create art or music
  8. Can name three different LLM architectures
  9. Has attended an ICML conference before
  10. Has used an LLM to summarize research papers
  11. Has learned a new language in the last year
  12. Has published research on multilingual LLMs
  13. Has contributed to an open-source AI project
  14. Has experience with fine-tuning a pre-trained LLM
  15. Has collaborated on a research paper with someone from a different continent
  16. Has used a generative AI model for a non-academic purpose
  17. Knows at least three programming languages
  18. Is optimistic about the future of human-AI collaboration
  19. Has used an LLM in a language other than english
  20. Has a preferred AI research tool they can recommend
  21. Has experience with low-resource languages in NLP
  22. Is interested in the ethical implications of generative AI
  23. Is familiar with the concept of prompt engineering
  24. Can recommend a good AI or tech related podcast