Text Understanding and Generation Using Transformer Models for Intelligent E-commerce Recommendations
With the rapid development of artificial intelligence technology, Transformer structural pre-
training model has become an important tool for large language model (LLM) tasks. In the …
training model has become an important tool for large language model (LLM) tasks. In the …
Application of machine learning optimization in cloud computing resource scheduling and management
Y Zhang, B Liu, Y Gong, J Huang, J Xu… - Proceedings of the 5th …, 2024 - dl.acm.org
In recent years, cloud computing has been widely used. Cloud computing refers to the
centralized computing resources, users through the access to the centralized resources to …
centralized computing resources, users through the access to the centralized resources to …
Dynamic resource allocation for virtual machine migration optimization using machine learning
Y Gong, J Huang, B Liu, J Xu, B Wu… - arXiv preprint arXiv …, 2024 - arxiv.org
The paragraph is grammatically correct and logically coherent. It discusses the importance
of mobile terminal cloud computing migration technology in meeting the demands of …
of mobile terminal cloud computing migration technology in meeting the demands of …
Intelligent robotic control system based on computer vision technology
The article explores the intersection of computer vision technology and robotic control,
highlighting its importance in various fields such as industrial automation, healthcare, and …
highlighting its importance in various fields such as industrial automation, healthcare, and …
Deep Learning Approaches for Improving Question Answering Systems in Hepatocellular Carcinoma Research
In recent years, advancements in natural language processing (NLP) have been fueled by
deep learning techniques, particularly through the utilization of powerful computing …
deep learning techniques, particularly through the utilization of powerful computing …
Integrating generative ai into financial market prediction for improved decision making
This study provides an in-depth analysis of the model architecture and key technologies of
generative artificial intelligence, combined with specific application cases, and uses …
generative artificial intelligence, combined with specific application cases, and uses …
Enhancing multi-hop knowledge graph reasoning through reward shaping techniques
In the realm of computational knowledge representation, Knowledge Graph Reasoning (KG-
R) stands at the forefront of facilitating sophisticated inferential capabilities across …
R) stands at the forefront of facilitating sophisticated inferential capabilities across …
Research on the Application of Deep Learning-based BERT Model in Sentiment Analysis
This paper explores the application of deep learning techniques, particularly focusing on
BERT models, in sentiment analysis. It begins by introducing the fundamental concept of …
BERT models, in sentiment analysis. It begins by introducing the fundamental concept of …
Utilizing Machine Learning for Precise Audience Targeting in Data Science and Targeted Advertising
In the current era of technology, big data has become increasingly accurate in
understanding individuals' interests and needs. Personalized advertising recommendations …
understanding individuals' interests and needs. Personalized advertising recommendations …
Unveiling the future navigating next-generation ai frontiers and innovations in application
As a representative of the information revolution, the Internet began in the 1960s when
ARPANET was born, and after decades of development and evolution, today it has formed a …
ARPANET was born, and after decades of development and evolution, today it has formed a …