LLM Config

Definitions

1. The configuration used for a large language model workflow, including model choice, temperature, max tokens, system prompts, tool settings, and routing rules. Explicit LLM config management is important for reproducibility and controlled rollouts.

   In plain English: The settings and options that define how a large language model is used.

   Example: "The incident came from an unnoticed LLM config change that raised temperature in production."

Related Terms

• LLM Benchmark
• LLM Cache
• LLM Calling
• LLM Completion
• LLM Memory
• LLM Optimization
• LLM Pipeline
• LLM Platform
• LLM Plugin
• LLM Proxy
• LLM Reliability
• LLM Router
• LLM Scale
• LLM SDK
• LLM Streaming
• LLM Token
• LLM Trace
• LLM Wrapper
• Max Tokens
• Model Config
• Training Config