Databricks

Enterprises are rapidly deploying large language models (LLMs) but scaling them reliably poses a major challenge. Traditional evaluation is often manual, fragmented and too slow to meet production demands. A leading U. S. Telco faced this exact problem with 200+ models deployed across Triton servers without a common framework, resulting in bottlenecks, uneven quality standards ...