Canrecommenda good AI ortech relatedpodcastCan namethreedifferent LLMarchitecturesHasexperiencewith fine-tuning a pre-trained LLMHas presenteda paper onnaturallanguagegenerationHaspublishedresearch onmultilingualLLMsHas traveledinternationallyto attend thisconferenceIs excitedabout thepotential ofLLMs ineducationHas collaboratedon a researchpaper withsomeone from adifferent continentIs currentlyworking on aprojectinvolving cross-lingual transferlearningHassuccessfullydebugged acomplexLLMHas learneda newlanguage inthe last yearHas used agenerative AImodel tocreate art ormusicHas used agenerative AImodel for anon-academicpurposeHasattended anICMLconferencebeforeHas apreferred AIresearch toolthey canrecommendHas experiencewith low-resourcelanguages inNLPKnows atleast threeprogramminglanguagesHascontributedto an open-source AIprojectHas used anLLM tosummarizeresearchpapersIs familiarwith theconcept ofpromptengineeringHasparticipated ina hackathonfocused on AIor LLMsCan explain thedifferencebetween causaland maskedlanguagemodelsIs optimisticabout thefuture ofhuman-AIcollaborationIs interestedin the ethicalimplicationsof generativeAICanrecommenda good AI ortech relatedpodcastCan namethreedifferent LLMarchitecturesHasexperiencewith fine-tuning a pre-trained LLMHas presenteda paper onnaturallanguagegenerationHaspublishedresearch onmultilingualLLMsHas traveledinternationallyto attend thisconferenceIs excitedabout thepotential ofLLMs ineducationHas collaboratedon a researchpaper withsomeone from adifferent continentIs currentlyworking on aprojectinvolving cross-lingual transferlearningHassuccessfullydebugged acomplexLLMHas learneda newlanguage inthe last yearHas used agenerative AImodel tocreate art ormusicHas used agenerative AImodel for anon-academicpurposeHasattended anICMLconferencebeforeHas apreferred AIresearch toolthey canrecommendHas experiencewith low-resourcelanguages inNLPKnows atleast threeprogramminglanguagesHascontributedto an open-source AIprojectHas used anLLM tosummarizeresearchpapersIs familiarwith theconcept ofpromptengineeringHasparticipated ina hackathonfocused on AIor LLMsCan explain thedifferencebetween causaland maskedlanguagemodelsIs optimisticabout thefuture ofhuman-AIcollaborationIs 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. Can recommend a good AI or tech related podcast
  2. Can name three different LLM architectures
  3. Has experience with fine-tuning a pre-trained LLM
  4. Has presented a paper on natural language generation
  5. Has published research on multilingual LLMs
  6. Has traveled internationally to attend this conference
  7. Is excited about the potential of LLMs in education
  8. Has collaborated on a research paper with someone from a different continent
  9. Is currently working on a project involving cross-lingual transfer learning
  10. Has successfully debugged a complex LLM
  11. Has learned a new language in the last year
  12. Has used a generative AI model to create art or music
  13. Has used a generative AI model for a non-academic purpose
  14. Has attended an ICML conference before
  15. Has a preferred AI research tool they can recommend
  16. Has experience with low-resource languages in NLP
  17. Knows at least three programming languages
  18. Has contributed to an open-source AI project
  19. Has used an LLM to summarize research papers
  20. Is familiar with the concept of prompt engineering
  21. Has participated in a hackathon focused on AI or LLMs
  22. Can explain the difference between causal and masked language models
  23. Is optimistic about the future of human-AI collaboration
  24. Is interested in the ethical implications of generative AI