"Single, monolithic models are out—compound AI systems are in. The next generation of generative AI will be dynamic, agentic workflows—systems of many models, modalities, and external knowledge sources that work together to solve business tasks."
"Compound AI systems can leverage the unique strengths of each system component, incorporate real-time information from external databases and knowledge sources, and function at faster inference speeds."
"Transitioning the entire AI industry towards compound AI systems requires radical new tools and design approaches. Compound AI systems need to be steerable to fit into unique workload patterns of individual use cases."
"Automatic customization is key to scale a large number of production deployments, exemplified by adaptive speculative execution which enhances model inference for specific workloads."
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