Zobrazeno 1 - 10
of 412
pro vyhledávání: '"MARCUS, GARY"'
Autor:
Lenat, Doug, Marcus, Gary
Generative AI, the most popular current approach to AI, consists of large language models (LLMs) that are trained to produce outputs that are plausible, but not necessarily correct. Although their abilities are often uncanny, they are lacking in aspe
Externí odkaz:
http://arxiv.org/abs/2308.04445
Modern Artificial Intelligence applications show great potential for language-related tasks that rely on next-word prediction. The current generation of Large Language Models (LLMs) have been linked to claims about human-like linguistic performance a
Externí odkaz:
http://arxiv.org/abs/2308.00109
Large Language Models (LLMs) are recruited in applications that span from clinical assistance and legal support to question answering and education. Their success in specialized tasks has led to the claim that they possess human-like linguistic capab
Externí odkaz:
http://arxiv.org/abs/2302.12313
Machine intelligence is increasingly being linked to claims about sentience, language processing, and an ability to comprehend and transform natural language into a range of stimuli. We systematically analyze the ability of DALL-E 2 to capture 8 gram
Externí odkaz:
http://arxiv.org/abs/2210.12889
The DALL-E 2 system generates original synthetic images corresponding to an input text as caption. We report here on the outcome of fourteen tests of this system designed to assess its common sense, reasoning and ability to understand complex texts.
Externí odkaz:
http://arxiv.org/abs/2204.13807
The Winograd Schema Challenge - a set of twin sentences involving pronoun reference disambiguation that seem to require the use of commonsense knowledge - was proposed by Hector Levesque in 2011. By 2019, a number of AI systems, based on large pre-tr
Externí odkaz:
http://arxiv.org/abs/2201.02387