Efficient State Management
Tri and Michael discuss the importance of state size in models, exploring the trade-offs between recurrent and convolutional views. They delve into strategies for efficient state management on GPUs, focusing on optimizing memory usage for better model performance.In this clip
From this podcast
Interconnects Audio
Interviewing Tri Dao and Michael Poli of Together AI on the future of LLM architectures
Related Questions
How do state space models work in the context of the episode Mamba, Mamba-2, and Post-Transformer Architectures for Generative AI with Albert Gu - 693 and the clip Trends in Stateful Models?
How do state space models work in the context of the episode Mamba, Mamba-2 and Post-Transformer Architectures for Generative AI with Albert Gu - 693 and the clip Trends in Stateful Models?
How do state space models work in the context of the episode Mamba, Mamba-2 and Post-Transformer Architectures for Generative AI with Albert Gu - 693 and the clip State Space Models?