Hasexperiencewith fine-tuning a pre-trained LLMHascontributedto an open-source AIprojectIs excitedabout thepotential ofLLMs ineducationKnows atleast threeprogramminglanguagesHas apreferred AIresearch toolthey canrecommendHaspublishedresearch onmultilingualLLMsHas experiencewith low-resourcelanguages inNLPCan namethreedifferent LLMarchitecturesHasattended anICMLconferencebeforeIs familiarwith theconcept ofpromptengineeringHas used anLLM tosummarizeresearchpapersHasparticipated ina hackathonfocused on AIor LLMsHas collaboratedon a researchpaper withsomeone from adifferent continentIs currentlyworking on aprojectinvolving cross-lingual transferlearningHas used agenerative AImodel tocreate art ormusicCanrecommenda good AI ortech relatedpodcastHas presenteda paper onnaturallanguagegenerationCan explain thedifferencebetween causaland maskedlanguagemodelsHas used agenerative AImodel for anon-academicpurposeHas learneda newlanguage inthe last yearIs optimisticabout thefuture ofhuman-AIcollaborationHas traveledinternationallyto attend thisconferenceHassuccessfullydebugged acomplexLLMIs interestedin the ethicalimplicationsof generativeAIHasexperiencewith fine-tuning a pre-trained LLMHascontributedto an open-source AIprojectIs excitedabout thepotential ofLLMs ineducationKnows atleast threeprogramminglanguagesHas apreferred AIresearch toolthey canrecommendHaspublishedresearch onmultilingualLLMsHas experiencewith low-resourcelanguages inNLPCan namethreedifferent LLMarchitecturesHasattended anICMLconferencebeforeIs familiarwith theconcept ofpromptengineeringHas used anLLM tosummarizeresearchpapersHasparticipated ina hackathonfocused on AIor LLMsHas collaboratedon a researchpaper withsomeone from adifferent continentIs currentlyworking on aprojectinvolving cross-lingual transferlearningHas used agenerative AImodel tocreate art ormusicCanrecommenda good AI ortech relatedpodcastHas presenteda paper onnaturallanguagegenerationCan explain thedifferencebetween causaland maskedlanguagemodelsHas used agenerative AImodel for anon-academicpurposeHas learneda newlanguage inthe last yearIs optimisticabout thefuture ofhuman-AIcollaborationHas traveledinternationallyto attend thisconferenceHassuccessfullydebugged acomplexLLMIs interestedin the ethicalimplicationsof generativeAI

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