In the past, AI applications were built on single models. These models were trained on a specific dataset and were designed to perform a specific task. However, as AI has become more sophisticated, the limitations of single models have become apparent. Compound AI systems are a new approach to AI that addresses the limitations of single models. Compound AI systems are made up of multiple models that work together to achieve a common goal. Each model in a compound AI system is specialized in a particular task, and the models communicate with each other to share information and make decisions. This approach has been discovered at Berkeley Artificial Intelligence Research (BAIR) is a leading research lab at the University of California, Berkeley. They recently wrote a paper with Databricks founder Matei Zaharia and others called “ The Shift from Models to Compound AI Systems. ” ( https://bair.berkeley.edu/blog/2024/02/18/compound-ai-systems/ ) There are several reasons why develop...
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