Zobrazeno 1 - 10
of 1 042
pro vyhledávání: '"LangChain"'
Autor:
Moreira de Lima, Francisco André1 f.andre.mlima1@gmail.com, Pereira Boente, Alfredo Nazareno2 boente@nce.ufrj.br, Marciano dos Santos, Ricardo3 rms221070@gmail.com, da Silva Ferreira, Vinícius Marques4 vinicius.ferreira@pep.ufrj.br, Pereira Boente, Kilmer5 kilmerboente@ufrj.br, Pires Boente, Renata Miranda6 renata@hcte.ufrj.br
Publikováno v:
GeSec: Revista de Gestao e Secretariado. 2024, Vol. 15 Issue 10, p1-20. 20p.
With the development of natural language processing (NLP), large language models (LLMs) are becoming increasingly popular. LLMs are integrating more into everyday life, raising public concerns about their security vulnerabilities. Consequently, the s
Externí odkaz:
http://arxiv.org/abs/2406.18122
Mental health challenges are on the rise in our modern society, and the imperative to address mental disorders, especially regarding anxiety, depression, and suicidal thoughts, underscores the need for effective interventions. This paper delves into
Externí odkaz:
http://arxiv.org/abs/2403.05568
In this paper, we are going to share a draft of the development of a conversational agent created to disseminate information about historical sites located in the Seoul. The primary objective of the agent is to increase awareness among visitors who a
Externí odkaz:
http://arxiv.org/abs/2402.06929
Breast ultrasound (BUS) is a critical diagnostic tool in the field of breast imaging, aiding in the early detection and characterization of breast abnormalities. Interpreting breast ultrasound images commonly involves creating comprehensive medical r
Externí odkaz:
http://arxiv.org/abs/2312.03013
Autor:
Pandya, Keivalya, Holia, Mehfuza
In the digital age, the dynamics of customer service are evolving, driven by technological advancements and the integration of Large Language Models (LLMs). This research paper introduces a groundbreaking approach to automating customer service using
Externí odkaz:
http://arxiv.org/abs/2310.05421