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pro vyhledávání: '"Chesler, Ryan"'
Autor:
Galib, Shaikat, Wang, Shanshan, Xu, Guanshuo, Pfeiffer, Pascal, Chesler, Ryan, Landry, Mark, Ambati, Sri Satish
Smaller vision-language models (VLMs) are becoming increasingly important for privacy-focused, on-device applications due to their ability to run efficiently on consumer hardware for processing enterprise commercial documents and images. These models
Externí odkaz:
http://arxiv.org/abs/2410.13611
Autor:
Candel, Arno, McKinney, Jon, Singer, Philipp, Pfeiffer, Pascal, Jeblick, Maximilian, Prabhu, Prithvi, Gambera, Jeff, Landry, Mark, Bansal, Shivam, Chesler, Ryan, Lee, Chun Ming, Conde, Marcos V., Stetsenko, Pasha, Grellier, Olivier, Ambati, SriSatish
Applications built on top of Large Language Models (LLMs) such as GPT-4 represent a revolution in AI due to their human-level capabilities in natural language processing. However, they also pose many significant risks such as the presence of biased,
Externí odkaz:
http://arxiv.org/abs/2306.08161