AI Parameter

Definitions

1. A configurable value in an AI system, or in some contexts an individual learned weight inside a model. In product discussions, the phrase often refers to settings like temperature, max tokens, or top-p that influence generation behavior.

   In plain English: A setting or learned value that affects how an AI model behaves.

   Example: "They lowered the temperature parameter because the support workflow valued consistency more than creativity."

Related Terms

• AI Language
• Classifier
• Model Benchmark
• Model Config
• Model Context
• Model Deployment
• Model Editor
• Model Efficiency
• Model Endpoint
• Model Eval
• Model Family
• Model Format
• Model Hosting
• Model Interface
• Model Latency
• Model License
• Model Lifecycle
• Model Migration
• Model Monitor
• Model Optimization
• Model Parameter
• Model Pipeline
• Model Platform
• Model Plugin
• Model Safety
• Model Scale
• Model SDK
• Model Selection
• Model State
• Model Streaming
• Model Temperature
• Model Token
• Model Tokenizer
• Model Trace
• Model Validation
• Model Weight
• Open Source AI
• Parameter Count
• Ranking Model
• Reasoning Model
• Representation
• Retrieval Model
• Scoring Model
• Sequence Model
• World Knowledge