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Mixed Attention & LLM Context | Data Brew | Episode 35
Data Brew by Databricks
Exploring Mamba Architecture and Memory Management in Machine Learning Models
This chapter examines the Mamba architecture, highlighting its unique fixed memory size and enhanced processing speeds compared to traditional transformer models. It also explores hybrid models that merge Mamba features with attention layers to optimize context retention and computational efficiency.
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