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Architecting AI Systems and Model Evolution
The chapter delves into the systematic thinking required for architecting AI systems, highlighting the need for evaluation and validation of model outputs before user delivery. It explores the roles necessary for interacting with AIOS and emphasizes foundational infrastructure and DevOps in solution creation. The conversation covers the evolution of model architectures from RNNs to Transformers, introducing a hybrid model approach with attention mechanisms and the release of Jamba as the first open-source model for community innovation.