Zobrazeno 1 - 10
of 36 816
pro vyhledávání: '"Large Language Models—LLMs"'
Publikováno v:
RAM. Mackenzie Management Review / RAM. Revista de Administração Mackenzie. 2024, Vol. 25 Issue 6, p1-38. 38p.
Autor:
Pantano, Eleonora1 (AUTHOR) e.pantano@bristol.ac.uk, Serravalle, Francesca2 (AUTHOR), Priporas, Constantinos-Vasilios3,4 (AUTHOR)
Publikováno v:
Journal of Marketing Management. Dec2024, p1-20. 20p. 2 Illustrations.
This study introduces a novel approach for traffic control systems by using Large Language Models (LLMs) as traffic controllers. The study utilizes their logical reasoning, scene understanding, and decision-making capabilities to optimize throughput
Externí odkaz:
http://arxiv.org/abs/2411.10869
This article proposes a new integration of linguistic anthropology and machine learning (ML) around convergent interests in both the underpinnings of language and making language technologies more socially responsible. While linguistic anthropology f
Externí odkaz:
http://arxiv.org/abs/2411.05200
Large language models (LLMs) are becoming a popular tool as they have significantly advanced in their capability to tackle a wide range of language-based tasks. However, LLMs applications are highly vulnerable to prompt injection attacks, which poses
Externí odkaz:
http://arxiv.org/abs/2410.21337
Recently, large language models (LLMs) have been successfully applied to many fields, showing outstanding comprehension and reasoning capabilities. Despite their great potential, LLMs usually require dedicated pre-training and fine-tuning for domain-
Externí odkaz:
http://arxiv.org/abs/2411.04136
Decoding and expressing brain activity in a comprehensible form is a challenging frontier in AI. This paper presents Thought2Text, which uses instruction-tuned Large Language Models (LLMs) fine-tuned with EEG data to achieve this goal. The approach i
Externí odkaz:
http://arxiv.org/abs/2410.07507
This paper presents a comprehensive study on the tokenization techniques employed by state-of-the-art large language models (LLMs) and their implications on the cost and availability of services across different languages, especially low resource lan
Externí odkaz:
http://arxiv.org/abs/2410.03568
As an intriguing case is the goodness of the machine and deep learning models generated by these LLMs in conducting automated scientific data analysis, where a data analyst may not have enough expertise in manually coding and optimizing complex deep
Externí odkaz:
http://arxiv.org/abs/2411.18731
The capability of generating high-quality source code using large language models (LLMs) reduces software development time and costs. However, they often introduce security vulnerabilities due to training on insecure open-source data. This highlights
Externí odkaz:
http://arxiv.org/abs/2409.12699