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18min chapter
Mamba & Jamba (Practical AI #266)
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Architecting Efficient AI Systems Beyond Language Models
Exploring the complexity of integrating tasks in AI systems and the importance of systematic thinking in architecting these systems efficiently. Highlighting the roles and skills needed, the evolution of AI models to improve scalability, and the merging of different architectures for better performance. Emphasizing the collaborative and diverse nature of building AI solutions, discussing the development of foundation models, and the decision to make models open source for community innovation.
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