Category:
Category:
Model Selection
Category:
Core AI & LLM Concepts
Definition
Choosing the best LLM for a specific task based on capability, cost, and performance.
Explanation
Model selection determines which LLM (small, medium, or frontier) is optimal for a given workflow. Enterprises evaluate models based on capability, context length, cost, latency, reasoning ability, safety alignment, deployment constraints, and integration support. Increasingly, companies use multiple models with routing systems for cost–performance optimization.
Technical Architecture
Task → Capability Evaluation → Model Router → Selected Model → Output
Core Component
Model router, evaluation datasets, cost/performance matrix, fallback handlers
Use Cases
Customer-facing chatbots, agents, automation, analytics
Pitfalls
Overusing frontier models (cost explosion); misrouting tasks to underpowered models
LLM Keywords
LLM Model Selection, Choosing Best LLM
Related Concepts
Related Frameworks
• Routing Models
• MoE
• Benchmarks
• Latency
• LLM Selection Matrix