Building the Future of Generative AI: Compound AI Systems
Briefly

The future of AI lies in compound systems, where a mix of models and external data collaborate to enhance performance, speed, and output quality.
By harnessing the unique strengths of each component and integrating real-time data, compound AI can offer tailored solutions that traditional monolithic models cannot provide.
Transitioning to compound AI requires innovative tools and methodologies to allow systems to be customized for specific workloads, enabling scalable production deployments.
Methods like adaptive speculative execution optimize inference by using draft models in conjunction with main LLMs, enhancing the efficiency of compound AI systems.
Read at Medium
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