Transformer-Based AI Models
Daniel discusses the evolution from RNNs to transformers in AI models, highlighting the power of attention mechanisms in relating disparate pieces of information efficiently. The discussion delves into the balance between model complexity and performance, leading to the development of a hybrid architecture combining the strengths of both RNNs and transformers.In this clip
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Practical AI
Mamba & Jamba
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