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pro vyhledávání: '"Bendiken, Arto"'
Autor:
Bendiken, Arto
We present KNOW--the Knowledge Navigator Ontology for the World--the first ontology designed to capture everyday knowledge to augment large language models (LLMs) in real-world generative AI use cases such as personal AI assistants. Our domain is hum
Externí odkaz:
http://arxiv.org/abs/2405.19877
In applications such as personal assistants, large language models (LLMs) must consider the user's personal information and preferences. However, LLMs lack the inherent ability to learn from user interactions. This paper explores capturing personal i
Externí odkaz:
http://arxiv.org/abs/2405.14012
Autor:
Çöplü, Tolga, Bendiken, Arto, Skomorokhov, Andrii, Bateiko, Eduard, Cobb, Stephen, Bouw, Joshua J.
Augmenting large language models (LLMs) with user-specific knowledge is crucial for real-world applications, such as personal AI assistants. However, LLMs inherently lack mechanisms for prompt-driven knowledge capture. This paper investigates utilizi
Externí odkaz:
http://arxiv.org/abs/2402.00414
This paper explores the feasibility and performance of on-device large language model (LLM) inference on various Apple iPhone models. Amidst the rapid evolution of generative AI, on-device LLMs offer solutions to privacy, security, and connectivity c
Externí odkaz:
http://arxiv.org/abs/2312.12472