AITowards Data Science29 minutes ago
Adaptive Router Cuts LLM Inference Costs 90%
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An Adaptive Model Router dynamically assigns LLMs to tasks in multi-agent systems, cutting inference costs by up to 90% without changing agent logic. The system uses a lightweight classifier to score task complexity, reasoning needs, and context size, routing to Fast, Balanced, or Powerful model tiers.
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