From Machine Learning-Based to LLM-Enhanced: An Application-Focused Analysis of How Social IoT Benefits from LLMs
Recent advancements in large language models (LLMs) have added a transformative dimension to the social Internet of Things (SIoT), which is the combination of social networks and IoT. With LLMs’ natural language understanding and data synthesis capabilities, LLMs are regarded as strong tools to enha...
Saved in:
| Main Authors: | Lijie Yang, Runbo Su |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-04-01
|
| Series: | IoT |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2624-831X/6/2/26 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
New developing narrow band IoT technology NB-IoT
by: Zhi-bin ZHENG, et al.
Published: (2017-12-01) -
IoT based Agriculture (Ag-IoT): A detailed study on Architecture, Security and Forensics
by: Santoshi Rudrakar, et al.
Published: (2024-12-01) -
Blockchain-IoT Healthcare Applications and Trends: A Review
by: Wafaa A. N. A. Al-Nbhany, et al.
Published: (2024-01-01) -
The Integration of the Internet of Things (IoT) Applications into 5G Networks: A Review and Analysis
by: Aymen I. Zreikat, et al.
Published: (2025-06-01) -
Intelligent Machine Learning Based Internet of Things (IoT) Resource Allocation
by: Koushik Chakraborty, et al.
Published: (2023-12-01)