Statistical Clustering May Reduce LLM Observability Costs Without Inference
Seldon AI argues trace clustering can work without running inference on every request, potentially lowering observability spend.
#llm-ops
LLM Control Planes: The Emerging Layer Between Applications and Model Selection
An architectural pattern for managing multi-vendor LLM deployments is gaining traction as organizations optimize for cost and performance trade-offs.
MLflow AI Gateway Adds Request-Level Tracing for Production LLM Services
Databricks' MLflow AI Gateway now supports distributed tracing, enabling teams to debug multi-hop LLM requests in production environments.