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Mamba & Jamba
Practical AI: Machine Learning, Data Science, LLM
Architecting AI Systems and Model Evolution
18min Snip
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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.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode