Concept graph
Generative AI and LLM glossary
Clear AI definitions with practical context, examples, and links to related models, tools, and concepts.
Agents
Agent memory
Agent memory is the state an AI agent keeps across steps or sessions, such as scratchpad notes, retrieved facts, user preferences, or task history.
Development
Context engineering
Context engineering is the practice of designing what information, tools, memory, and instructions are supplied to a model at runtime.
Retrieval
Grounding
Grounding means tying model claims to retrieved documents, tools, or other checkable evidence instead of parametric memory alone.
Inference
Quantization
Quantization stores weights or activations in lower-precision formats such as 8-bit or 4-bit to reduce memory and often cost.
Inference
RAG
RAG retrieves relevant passages (often via embeddings) and conditions generation on them—reducing reliance on parametric memory alone.