Limits Glossary
Browse 8 limits terms defined in plain English, from the cultural dictionary of computing.
8 Limits Terms
- AI Limit
- A practical or technical boundary on what an AI system can do, such as context size, latency, reliability, modality support, safety constraints, or cost...
- Concurrency Limit
- A configured cap on how many tasks, requests, workers, or operations may run in parallel at once. Concurrency limits are used to protect downstream...
- Connection Limit
- The maximum number of simultaneous connections a service, pool, or system is configured to allow. Connection limits protect dependencies from overload, but...
- Context Length
- The maximum amount of input and sometimes generated output that a model can consider within a single request, usually measured in tokens. Context length...
- Knowledge Boundary
- The effective boundary around what an AI system knows or can answer reliably, given its training data, retrieval access, and current context. Understanding...
- Model Limit
- A practical or technical boundary on model behavior, such as context size, latency tolerance, modality support, or reliability under certain conditions....
- Range Anxiety
- Borrowed from electric-vehicle culture, this refers to worry about whether a system, budget, or process can make it far enough before running out of capacity....
- Tap Out
- To stop and hand over because you are out of time, energy, or useful context. In engineering slang, tapping out is often healthier than pretending to remain...
Related Topics
- Ai (4 terms in common)
- Slang (2 terms in common)
- Concurrency (1 terms in common)
- Connections (1 terms in common)
- Models (1 terms in common)
- Knowledge (1 terms in common)
- Scalability (1 terms in common)
- Capacity Worry (1 terms in common)
- Constraints (1 terms in common)
- Performance (1 terms in common)
- Hand Off (1 terms in common)
- Context Windows (1 terms in common)