Architecture and Request Lifecycle of TensorFlow Serving
Project Structure and ModulesPrimary DirectoriesAPIs (apis/): Defines the gRPC and RESTful service contracts, including request and response payloads for inference operations.Core (core/): The foundational engine handling resource allocation, request routing, model lifecycle oversight, and version control.Model Servers (model_servers/): Houses ...
Posted on Wed, 13 May 2026 12:05:18 +0000 by kidsleep
Monitoring Data Drift in Machine Learning Pipelines
Data drift occurs when the statistical properties of production input data deviate from the distribution of the data used during model training. This discrepancy can significant degrade model performance over time, making drift detection a critical component of robust MLOps practices.
Core Concepts of Drift Metrics
To quantify drift, we rely on ...
Posted on Mon, 11 May 2026 01:30:25 +0000 by juuuugroid