Proceedings of the 15th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2023) : Volume 2: Deep Learning and Large Language Models

Kun Ma

ISBN 10: 3031810821 / ISBN 13: 9783031810824

Edité par Springer International Publishing, Springer Nature Switzerland, 2025

A propos de cet article

Druck auf Anfrage Neuware - Printed after ordering - This book presents 55 selected papers focused on Deep Learning and Large Language Models from the 14th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2023) and 14th World Congress on Nature and Biologically Inspired Computing (NaBIC 2023). SoCPaR - NaBIC 2023 was held in 5 different cities namely Olten, Switzerland; Porto, Portugal; Kaunas, Lithuania; Greater Noida, India; Kochi, India and in online mode. The conference had contributions by authors from 39 countries. This Volume offers a valuable reference guide for all scientists, academicians, researchers, students and practitioners focused on advanced machine learning including deep learning methods, large language models and its real-world applications.

N° de réf. du vendeur 9783031810824

Détails bibliographiques

• Titre: Proceedings of the 15th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2023) : Volume 2: Deep Learning and Large Language Models
• Éditeur: Springer International Publishing, Springer Nature Switzerland
• Date de parution: 2025
• Langue: anglais
• ISBN à 10 chiffres: 3031810821
• ISBN à 13 chiffres: 9783031810824
• Reliure: Taschenbuch
• État de l'article: Neu

A propos de ce titre

Synopsis

This book presents 55 selected papers focused on Deep Learning and Large Language Models from the 14th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2023) and 14th World Congress on Nature and Biologically Inspired Computing (NaBIC 2023). SoCPaR – NaBIC 2023 was held in 5 different cities namely Olten, Switzerland; Porto, Portugal; Kaunas, Lithuania; Greater Noida, India; Kochi, India and in online mode. The conference had contributions by authors from 39 countries. This Volume offers a valuable reference guide for all scientists, academicians, researchers, students and practitioners focused on advanced machine learning including deep learning methods, large language models and its real-world applications.