AI Cache
Noun · AI & Machine Learning
Definitions
A cache layer used to store and reuse AI-related outputs or intermediate results such as model responses, embeddings, retrieval results, or prompt expansions. AI caches can reduce cost and latency when identical or highly similar requests recur frequently.
In plain English: A cache that stores AI results so they can be reused.
Example: "They added an AI cache for repeated FAQ prompts so common support answers did not trigger a fresh model call every time."
Related Terms
- AI Code Generation
- AI Code Review
- AI Detection
- AI Efficiency
- AI Endpoint
- AI Interface
- AI Marketplace
- AI Notebook
- AI Optimization
- AI Performance
- AI Plugin
- AI Privacy
- AI Rate Limit
- AI SDK
- AI Session
- AI Simulation
- AI Speed
- AI Streaming
- Context Length
- Conversation Tree
- Data Curation
- Document QA
- GPU Utilization
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- LLM Cache
- LLM Throughput
- Multi-Modal
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- Prompt Cache
- Text Chunking
- Text Splitter
- Throughput AI
- Training Data Curation
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- Validation Loss