Model Context

Definitions

1. The information available to a model at inference time, including the prompt, conversation history, retrieved documents, tool outputs, and other supplied inputs. Model context strongly influences what the system can answer correctly in that moment.

   In plain English: The information a model has access to when generating an answer.

   Example: "They improved support accuracy by tightening model context so each request included only the customer's plan details and the relevant policy excerpts."

Related Terms

• AI Language
• AI Memory
• AI Parameter
• Classifier
• Model Benchmark
• Model Config
• Model Deployment
• Model Editor
• Model Efficiency
• Model Family
• Model Format
• Model Hosting
• Model Interface
• Model Latency
• Model License
• Model Lifecycle
• Model Migration
• Model Monitor
• Model Parameter
• Model Pipeline
• Model Plugin
• Model Safety
• Model SDK
• Model Selection
• Model State
• Model Streaming
• Model Temperature
• Model Tokenizer
• Model Trace
• Model Validation
• Model Weight
• Multi-Turn
• Open Source AI
• Parameter Count
• Ranking Model
• Reasoning Model
• Representation
• Retrieval Model
• Scoring Model
• Sequence Length
• Sequence Model
• World Knowledge