Multi-Model
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Plan-and-Execute Pattern - Separating Planning from Execution in AI Agents
A two-phase agent pattern where a capable planner model creates a step-by-step plan, then delegates each step …Orchestrator-Worker Pattern
An orchestrator LLM decomposes complex tasks and delegates subtasks to specialized worker models or agents, …Multi-Model Routing Patterns
Strategies for routing requests to different AI models based on task complexity, cost constraints, and latency …Model Tier Routing - Matching Request Complexity to Model Cost
Route AI requests to different model tiers based on complexity, cost sensitivity, and quality requirements. …Model Ensemble Patterns for AI Applications
Combining multiple models for improved accuracy, reliability, and coverage. Voting, cascading, and …Fallback Chain Pattern
Cascading model fallback strategy where failures or low-confidence responses trigger automatic failover to …Compound AI Systems - Architecture Framework for Multi-Model Coordination
How compound AI systems combine multiple models, retrievers, tools, and control logic to achieve capabilities …Compound AI System
An AI architecture that combines multiple models, retrievers, tools, and programmatic logic to solve tasks …Azure Cosmos DB - Globally Distributed Multi-Model Database
Azure Cosmos DB is a fully managed, globally distributed NoSQL and relational database service designed for …
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