Large language models: a comprehensive survey of its applications, challenges, limitations, and future prospects
Within the vast expanse of computerized language processing, a revolutionary entity known
as Large Language Models (LLMs) has emerged, wielding immense power in its capacity to …
as Large Language Models (LLMs) has emerged, wielding immense power in its capacity to …
Moth-flame optimization algorithm for feature selection: A review and future trends
A process must be followed in order to attain useful information from the available data. The
Knowledge Discovery in the Database (KDD)[3] is a general structure that defines the steps …
Knowledge Discovery in the Database (KDD)[3] is a general structure that defines the steps …
Detecting abusive Instagram comments in Turkish using convolutional Neural network and machine learning methods
Instagram is a free photo-sharing platform where each user has a profile and can upload
photos for followers to view, like, and comment. Abusive comments on images can be …
photos for followers to view, like, and comment. Abusive comments on images can be …
Feature selection based on grey wolf optimizer for oil & gas reservoir classification
The classification of the hydrocarbon reserve is a significant challenge for both oil and gas
producing firms. The factor of reservoir recovery contributes to the proven reservoir growth …
producing firms. The factor of reservoir recovery contributes to the proven reservoir growth …
[PDF][PDF] The Linguistic Landscape of" Controversial": Sentiment and Theme Distribution Insights.
EG Grishechko - GEMA Online Journal of Language Studies, 2024 - journalarticle.ukm.my
The language used to frame controversial topics on social media has profound implications
for public discourse and opinion formation, warranting a close examination of their sentiment …
for public discourse and opinion formation, warranting a close examination of their sentiment …
[PDF][PDF] Evaluation of Instagram's Neural Machine Translation for Literary Texts: An MQM-Based Analysis.
Addressing the global increase in social media users, platforms such as Instagram
introduced automatic translation to broaden information dissemination and improve cross …
introduced automatic translation to broaden information dissemination and improve cross …
[HTML][HTML] Federated and edge learning for large language models
As the demand for sophisticated language models (LMs) continues to grow, the necessity to
deploy them efficiently across federated and edge environments becomes increasingly …
deploy them efficiently across federated and edge environments becomes increasingly …
Classification of reservoir recovery factor for oil and gas reservoirs: A multi-objective feature selection approach
The accurate classification of reservoir recovery factor is dampened by irregularities such as
noisy and high-dimensional features associated with the reservoir measurements or …
noisy and high-dimensional features associated with the reservoir measurements or …
Search and Comparison of Isim Ma'rifat with Remove Diacritic on the Qur'an and Hadith of Bukhari
The concept of Quranpedia was inspired by the idea of Wikipedia, which is the most popular
online encyclopedia in the world. One of the main focuses of Quranpedia is to present data …
online encyclopedia in the world. One of the main focuses of Quranpedia is to present data …
Completion of multiview missing data based on multi-manifold regularised non-negative matrix factorisation
S **g-Tao, Z Qiu-Yu - Artificial Intelligence Review, 2020 - Springer
In multi-source data analysis, the absence of data values or attributes is inevitably brought
about by various influencing factors including environment, which results in the loss of …
about by various influencing factors including environment, which results in the loss of …