Constraints on English AI Terms Dictionary

Knowledge-based configuration

Sat, 18 Jul 2026 10:03:55 +0000

Definition

This approach employs constraint satisfaction techniques within a knowledge base to ensure that assembled products meet all technical and customer requirements. It prevents invalid combinations by encoding expert rules and dependencies. By automating complex selection processes, it reduces errors, speeds up sales cycles, and ensures consistency in manufacturing or software deployment scenarios.

Summary

An automated process that uses domain-specific knowledge bases to generate valid product configurations from user constraints.

Token Limit

Sat, 18 Jul 2026 09:43:02 +0000

Definition

Token limit defines the context window size constraint for large language models, restricting how much text can be analyzed or generated at once. This architectural boundary impacts memory management, retrieval strategies, and prompt engineering techniques. Exceeding this limit typically results in truncation errors or ignored context, necessitating chunking or summarization approaches to handle larger datasets effectively within the model’s operational capacity.

Summary

The maximum number of tokens an AI model can process in a single input or output sequence.