Annotation tools serve a critical role in the generation of datasets that fuel machine learning
applications. With the advent of Foundation Models, particularly those based on Transformer …

This study introduces a novel architecture for value, preference, and boundary alignment in
large language models (LLMs) and generative AI systems, accompanied by an experimental …

The rise of large language models (LLMs) has highlighted the importance of prompt
engineering as a crucial technique for optimizing model outputs. While experimentation with …

While user-centered design approaches stemming from the human-computer interaction
(HCI) field have notably improved the welfare of companion, service, and zoo animals, their …

This study focuses on the classification of six different macrofungi species using advanced
deep learning techniques. Fungi species, such as Amanita pantherina, Boletus edulis …

Introduction: Smart grid management and security in sports stadiums have gained global
attention as significant topics in the field of deep learning. This paper proposes a method …

Digital technology and artificial intelligence technologies have been progressing rapidly,
thus giving rise to intelligent chatbots such as chat generative pre-trained transformer …

Advanced models can now interpret and understand photos, videos, and text. Conventional
AI models focused on image classification, text analysis, and video processing. Multimodal …

In the face of escalating urban density, the emerging concept of elevated urban spaces such
as sky gardens and roof gardens is becoming a compelling requirement for human well …

L'annotation des données est cruciale pour l'apprentissage automatique, notamment dans
les domaines techniques, où la qualité et la quantité des données annotées affectent …