most citedLess is More: Optimizing Function Calling for LLM Execution on Edge Devices

1 citations · 1 across the 4 of their papers we have counts for

collaborators
Showing cs.PFShow all

2 papers · 1 filter

cs.PF2025

CarbonCall: Sustainability-Aware Function Calling for Large Language Models on Edge Devices

Varatheepan Paramanayakam, Andreas Karatzas, Iraklis Anagnostopoulos +1

Large Language Models (LLMs) enable real-time function calling in edge AI systems but introduce significant computational overhead, leading to high power consumption and carbon emi…

cs.PF2024★ 1 cited

Less is More: Optimizing Function Calling for LLM Execution on Edge Devices

Varatheepan Paramanayakam, Andreas Karatzas, Iraklis Anagnostopoulos +1

The advanced function-calling capabilities of foundation models open up new possibilities for deploying agents to perform complex API tasks. However, managing large amounts of data…