Can namethreedifferent LLMarchitecturesHas collaboratedon a researchpaper withsomeone from adifferent continentHascontributedto an open-source AIprojectHasexperiencewith fine-tuning a pre-trained LLMHassuccessfullydebugged acomplexLLMHas apreferred AIresearch toolthey canrecommendCanrecommenda good AI ortech relatedpodcastHasparticipated ina hackathonfocused on AIor LLMsHas used anLLM tosummarizeresearchpapersKnows atleast threeprogramminglanguagesIs currentlyworking on aprojectinvolving cross-lingual transferlearningIs interestedin the ethicalimplicationsof generativeAICan explain thedifferencebetween causaland maskedlanguagemodelsHas traveledinternationallyto attend thisconferenceHaspublishedresearch onmultilingualLLMsHasattended anICMLconferencebeforeHas learneda newlanguage inthe last yearIs optimisticabout thefuture ofhuman-AIcollaborationIs familiarwith theconcept ofpromptengineeringHas used agenerative AImodel tocreate art ormusicIs excitedabout thepotential ofLLMs ineducationHas presenteda paper onnaturallanguagegenerationHas used agenerative AImodel for anon-academicpurposeHas experiencewith low-resourcelanguages inNLPCan namethreedifferent LLMarchitecturesHas collaboratedon a researchpaper withsomeone from adifferent continentHascontributedto an open-source AIprojectHasexperiencewith fine-tuning a pre-trained LLMHassuccessfullydebugged acomplexLLMHas apreferred AIresearch toolthey canrecommendCanrecommenda good AI ortech relatedpodcastHasparticipated ina hackathonfocused on AIor LLMsHas used anLLM tosummarizeresearchpapersKnows atleast threeprogramminglanguagesIs currentlyworking on aprojectinvolving cross-lingual transferlearningIs interestedin the ethicalimplicationsof generativeAICan explain thedifferencebetween causaland maskedlanguagemodelsHas traveledinternationallyto attend thisconferenceHaspublishedresearch onmultilingualLLMsHasattended anICMLconferencebeforeHas learneda newlanguage inthe last yearIs optimisticabout thefuture ofhuman-AIcollaborationIs familiarwith theconcept ofpromptengineeringHas used agenerative AImodel tocreate art ormusicIs excitedabout thepotential ofLLMs ineducationHas presenteda paper onnaturallanguagegenerationHas used agenerative AImodel for anon-academicpurposeHas experiencewith low-resourcelanguages inNLP

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