Disha Patel

Lightweight transformers can match traditional ML accuracy in fault detection but at a staggering cost of latency and model size, challenging their practicality in real-time applications.

LLMs can detect system anomalies with surprisingly high accuracy even without labeled training data, rivaling fine-tuned models in scenarios where labels are scarce.