LLM Model Routing: Intelligent Model Selection and Hybrid Inference

Automatically select the right LLM based on task complexity. Covers the full spectrum from simple classifiers to RL-based online learning, query-level to token-level routing, and single-model selection to multi-model collaboration.

1. 1

   Model Routing Landscape: Why One Model Isn't Enough

   Advanced

   #model-routing#llm#cost-optimization#system-design
2. 2

   Routing Classifiers: Letting Small Models Decide Who Answers

   Advanced

   #model-routing#classifier#matrix-factorization#bert#semantic-routing
3. 3

   RouteLLM in Practice: From Preference Data to Production Routing

   Advanced

   #model-routing#routellm#matrix-factorization#training#deployment
4. 4

   Factorization Machines and LLM Routing: From FM Theory to MF Router

   Advanced

   #model-routing#factorization-machines#matrix-factorization#routellm
5. 5

   Cascade and Self-Verification: Try the Cheap Model First, Upgrade If Needed

   Advanced

   #model-routing#cascade#self-verification#pomdp#frugalgpt#automix
6. 6

   Hybrid LLM: Intelligent Routing Between Local and Cloud

   Advanced

   #model-routing#hybrid-llm#local-cloud#privacy#latency
7. 7

   Online Learning and Cost Optimization: Routers Need to Evolve Too

   Advanced

   #model-routing#bandit#reinforcement-learning#pareto#cost-optimization
8. 8

   Multi-Model Collaboration: From Picking One to Using Many

   Advanced

   #model-routing#mixture-of-agents#ensemble#council-mode#collaboration