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pro vyhledávání: '"Harrison, Rachel M."'
Autor:
Harrison, Rachel M.
Random Number Generation Tasks (RNGTs) are used in psychology for examining how humans generate sequences devoid of predictable patterns. By adapting an existing human RNGT for an LLM-compatible environment, this preliminary study tests whether ChatG
Externí odkaz:
http://arxiv.org/abs/2408.09656
Due to rapid advancements in the development of Large Language Models (LLMs), programming these models with prompts has recently gained significant attention. However, the sheer number of available prompt engineering techniques creates an overwhelmin
Externí odkaz:
http://arxiv.org/abs/2402.14837
We present a method for zero-shot recommendation of multimodal non-stationary content that leverages recent advancements in the field of generative AI. We propose rendering inputs of different modalities as textual descriptions and to utilize pre-tra
Externí odkaz:
http://arxiv.org/abs/2309.01026
Publikováno v:
Nature Communications
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=r3c4b2081b22::bedfa6d9e69b20ea87e158ae47878961
Akademický článek
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Autor:
Harrison RM; GenAI Lab, Ophiuchus LLC, Dover, DE, United States., Lapteva E; Institute of Psychology, Russian Academy of Sciences, Moscow, Russian Federation., Bibin A; Skoltech AI (Centers for Research, Education, and Innovation), Skolkovo Institute of Science and Technology, Moscow, Russian Federation.
Publikováno v:
JMIR AI [JMIR AI] 2024 Oct 15; Vol. 3, pp. e52974. Date of Electronic Publication: 2024 Oct 15.