AI Chain
Noun · AI & Machine Learning
Definitions
A sequence of AI-related steps in which the output of one model call or processing stage becomes input to the next. AI chains are used for workflows like retrieval, reasoning, transformation, validation, and final response generation.
In plain English: A linked sequence of AI steps where one stage feeds the next.
Example: "The product used an AI chain that extracted entities first, looked up account context second, and generated a final explanation last."
Related Terms
- AI Data Pipeline
- AI Edge
- AI Lifecycle
- AI Multi-Agent
- AI Registry
- AI Toolchain
- Cognitive Bias AI
- Cognitive Science AI
- Collective Intelligence
- Cooperative AI
- Dialogue Policy
- Embodied AI
- Feedback Loop AI
- Instruction Dataset
- LLM Chain
- LLM Pipeline
- Model Pipeline
- Neural Processor
- Prompt Pipeline
- RAG Chain
- RAG Pipeline
- Skill Composition
- System Card
- Trajectory
- Uncertainty Estimation
- Watermark Detection
- Weight Quantization
- XAI