State Space Breakthrough
Nathan and Tri discuss the groundbreaking collaboration on the Mamba project, showcasing the potential of state space models to rival transformers in language tasks. They delve into the technical challenges of implementing new CUDA kernels and the implications for GPU scalability in deep learning models.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?