Input Processing

Definitions

1. The preparation and transformation applied to incoming data before it reaches the core model, such as cleaning, chunking, tokenization, normalization, or validation. Good input processing can materially improve model quality and consistency.

   In plain English: Preparing incoming data before the AI system uses it.

   Example: "The extraction workflow improved once input processing removed scanner artifacts from uploaded forms."

Related Terms

• AI Processing
• AI Toolchain
• LLM Pipeline
• Model Input
• Model Pipeline
• Multi-Modal
• Prompt Pipeline
• Retrieval Pipeline