Is excitedabout thepotential ofLLMs ineducationHas traveledinternationallyto attend thisconferenceHas learneda newlanguage inthe last yearIs interestedin the ethicalimplicationsof generativeAIIs optimisticabout thefuture ofhuman-AIcollaborationHas experiencewith low-resourcelanguages inNLPHas used anLLM tosummarizeresearchpapersHas used agenerative AImodel for anon-academicpurposeHas collaboratedon a researchpaper withsomeone from adifferent continentHasattended anICMLconferencebeforeCan explain thedifferencebetween causaland maskedlanguagemodelsHascontributedto an open-source AIprojectHas used agenerative AImodel tocreate art ormusicCan namethreedifferent LLMarchitecturesIs currentlyworking on aprojectinvolving cross-lingual transferlearningHassuccessfullydebugged acomplexLLMCanrecommenda good AI ortech relatedpodcastIs familiarwith theconcept ofpromptengineeringHasexperiencewith fine-tuning a pre-trained LLMHaspublishedresearch onmultilingualLLMsHas presenteda paper onnaturallanguagegenerationKnows atleast threeprogramminglanguagesHas apreferred AIresearch toolthey canrecommendHasparticipated ina hackathonfocused on AIor LLMsIs excitedabout thepotential ofLLMs ineducationHas traveledinternationallyto attend thisconferenceHas learneda newlanguage inthe last yearIs interestedin the ethicalimplicationsof generativeAIIs optimisticabout thefuture ofhuman-AIcollaborationHas experiencewith low-resourcelanguages inNLPHas used anLLM tosummarizeresearchpapersHas used agenerative AImodel for anon-academicpurposeHas collaboratedon a researchpaper withsomeone from adifferent continentHasattended anICMLconferencebeforeCan explain thedifferencebetween causaland maskedlanguagemodelsHascontributedto an open-source AIprojectHas used agenerative AImodel tocreate art ormusicCan namethreedifferent LLMarchitecturesIs currentlyworking on aprojectinvolving cross-lingual transferlearningHassuccessfullydebugged acomplexLLMCanrecommenda good AI ortech relatedpodcastIs familiarwith theconcept ofpromptengineeringHasexperiencewith fine-tuning a pre-trained LLMHaspublishedresearch onmultilingualLLMsHas presenteda paper onnaturallanguagegenerationKnows atleast threeprogramminglanguagesHas apreferred AIresearch toolthey canrecommendHasparticipated ina hackathonfocused on AIor LLMs

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.


1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
  1. Is excited about the potential of LLMs in education
  2. Has traveled internationally to attend this conference
  3. Has learned a new language in the last year
  4. Is interested in the ethical implications of generative AI
  5. Is optimistic about the future of human-AI collaboration
  6. Has experience with low-resource languages in NLP
  7. Has used an LLM to summarize research papers
  8. Has used a generative AI model for a non-academic purpose
  9. Has collaborated on a research paper with someone from a different continent
  10. Has attended an ICML conference before
  11. Can explain the difference between causal and masked language models
  12. Has contributed to an open-source AI project
  13. Has used a generative AI model to create art or music
  14. Can name three different LLM architectures
  15. Is currently working on a project involving cross-lingual transfer learning
  16. Has successfully debugged a complex LLM
  17. Can recommend a good AI or tech related podcast
  18. Is familiar with the concept of prompt engineering
  19. Has experience with fine-tuning a pre-trained LLM
  20. Has published research on multilingual LLMs
  21. Has presented a paper on natural language generation
  22. Knows at least three programming languages
  23. Has a preferred AI research tool they can recommend
  24. Has participated in a hackathon focused on AI or LLMs