This bingo card has a free space and 24 words: Has published research on multilingual LLMs, Can explain the difference between causal and masked language models, Has attended an ICML conference before, Has used a generative AI model to create art or music, Has used an LLM in a language other than english, Knows at least three programming languages, Has presented a paper on natural language generation, Has traveled internationally to attend this conference, Is familiar with the concept of prompt engineering, Has used a generative AI model for a non-academic purpose, Can recommend a good AI or tech related podcast, Has participated in a hackathon focused on AI or LLMs, Has experience with fine-tuning a pre-trained LLM, Has contributed to an open-source AI project, Has used an LLM to summarize research papers, Is interested in the ethical implications of generative AI, Can name three different LLM architectures, Has learned a new language in the last year, Has collaborated on a research paper with someone from a different continent, Has experience with low-resource languages in NLP, Is optimistic about the future of human-AI collaboration, Has a preferred AI research tool they can recommend, Has successfully debugged a complex LLM and Is excited about the potential of LLMs in education.
Human BINGO: Navigating Generative AI and LLMs Across Languages | Human BINGO: Navigating Generative AI and LLMs Across Languages | Human BINGO: Navigating Generative AI and LLMs Across Languages | Human BINGO: Navigating Generative AI and LLMs Across Languages | BINGO
Share this URL with your players:
For more control of your online game, create a clone of this card first.
Learn how to conduct a bingo game.
With players vying for a you'll have to call about __ items before someone wins. There's a __% chance that a lucky player would win after calling __ items.
Tip: If you want your game to last longer (on average), add more unique words/images to it.
