Table 5 Cloud deployment and model training configuration.

From: A zero-shot LLM framework for multimodal grievance classification, urgency scoring, and abuse detection in civic feedback systems

Parameter

Configuration

Compute node

AWS EC2 (t3.large), 8 vCPU, 32 GB RAM

GPU (attached)

NVIDIA T4 (16 GB)

Operating system

Ubuntu 20.04 LTS

Orchestration layer

Kubernetes 1.28

Messaging middleware

RabbitMQ 3.12

Monitoring stack

Prometheus + Grafana

ASR optimizer

Adam, learning rate \(1\times 10^{-3}\)

ASR training epochs

30 (early stopping enabled)

Embedding model

MobileBERT (zero-shot)

Sentiment engine

VADER (compound polarity)

Toxicity module

Perspective API + behavioral heuristics