A study on classification based concurrent API calls and optimal model combination for tool augmented LLMs for AI agent
Abstract AI Agents have evolved to not only recommend content but also facilitate information retrieval and task processing. Developing AI Agents using general-purpose LLM models necessitates integration with external tools, leading to tool-augmented LLM studies. Despite the availability of multiple...
Saved in:
| Main Authors: | HeounMo Go, SangHyun Park |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-025-06469-w |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Using LLMs for Augmenting Hierarchical Agents with Common Sense Priors
by: Bharat Prakash, et al.
Published: (2024-05-01) -
An organizational theory for multi-agent interactions integrating human agents, LLMs, and specialized AI
by: Uwe M. Borghoff, et al.
Published: (2025-07-01) -
A malware classification method based on directed API call relationships.
by: Cuihua Ma, et al.
Published: (2025-01-01) -
Leveraging Local LLMs for Secure In-System Task Automation With Prompt-Based Agent Classification
by: Suthir Sriram, et al.
Published: (2024-01-01) -
Rethinking VLMs and LLMs for image classification
by: Avi Cooper, et al.
Published: (2025-06-01)