<ul><li>Large language models (LLMs) are gaining interest in industry for their impressive capabilities.</li><li>The adoption of LLMs presents challenges in integration, utilization of proprietary data and models, and meeting requirements.</li><li>A shift towards compound AI systems, with a blueprint architecture for orchestrating agents and data in enterprise applications, is proposed.</li><li>The architecture involves coordinating data and instructions among agents using streams, mapping models and APIs to agents, and utilizing proprietary data through a data registry.</li></ul>

Orchestrating Agents and Data for Enterprise: A Blueprint Architecture for Compound AI

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