Model Pipeline

Definitions

1. A pipeline built around a model, including input preparation, inference, post-processing, logging, and any supporting retrieval or validation steps. Model pipelines make it easier to reason about everything around the core inference call.

   In plain English: The full workflow around using a model, not just the model call itself.

   Example: "They refactored the model pipeline so OCR cleanup, extraction, and confidence scoring were versioned together."

Related Terms

• AI Chain
• AI Language
• AI Parameter
• AI Processing
• AI Toolchain
• Classifier
• Input Processing
• LLM Pipeline
• Model Benchmark
• Model Config
• Model Context
• Prompt Pipeline
• Retrieval Pipeline
• Training Pipeline