LLM Reliability
Noun · AI & Machine Learning
Definitions
The extent to which a large language model system behaves consistently and acceptably across repeated use, edge cases, and operational conditions. Reliability includes quality stability, system uptime, predictable formatting, and resistance to regressions.
In plain English: How consistently and dependably a large language model system behaves.
Example: "They delayed expansion because LLM reliability was still too weak on long multilingual conversations."