Space Regulatory Glossary AI & Data Science

multi-model architecture

noun

1. A system design that routes different tasks to different AI models based on each model's strengths, cost, and latency characteristics rather than relying on a single model for all operations.
2. A regulatory intelligence pipeline might use a small, fast model for filing classification, a specialized embedding model for semantic search, and a large reasoning model for complex extraction tasks, optimizing cost and accuracy across the workflow.

Related terms

large language model A neural network trained on large text corpora that generates, summarizes, and reasons about natural language. Models… inference The process of running a trained AI model to produce outputs from new inputs, as opposed to training the model.… fine-tuning The process of further training a pre-trained AI model on a domain-specific dataset to improve its performance on…

Mentioned in The Downlink

• AI Verification Engineering: Architecture for Trustworthy Regulatory AI

  RAG hallucinates at 17 to 33 percent in production legal tools. The architecture of trustworthy regulatory AI: source grounding, extraction validation, confidence scoring, and standards-aligned verification.

Browse all terms in the Space Regulatory Glossary →