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function calling

topic2 events
papersTODAY 04:00 UTC

Carbon-Aware Routing for Function Calling in Edge-Cloud LLM Systems

A new arXiv preprint proposes a routing approach that decides whether function-calling LLM requests should be handled at the edge or sent to cloud models, with the aim of reducing energy consumption and carbon emissions. The work targets agentic systems where inference is currently concentrated in large cloud-hosted models. It argues that latency, compute placement, and grid carbon intensity can be balanced when choosing where an inference runs.

papersSEP 10 04:00 UTC

Research: Readable schemas improve small language model function calling for in-vehicle assistants

A new arXiv paper examines how schema design affects the ability of small language models to turn a driver's natural-language requests into accurate vehicle function calls. Because these assistants must run on-device, the authors weigh strict memory and latency limits and argue that readable schemas outperform fixed-key formats for this task.